{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T13:27:41Z","timestamp":1793366861966,"version":"4.5.0"},"reference-count":354,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Progress in Retinal and Eye Research"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1016\/j.preteyeres.2020.100900","type":"journal-article","created":{"date-parts":[[2020,9,6]],"date-time":"2020-09-06T05:46:30Z","timestamp":1599371190000},"page":"100900","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":549,"special_numbering":"C","title":["Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective"],"prefix":"10.1016","volume":"82","author":[{"given":"Ji-Peng Olivia","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanruo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Darren S.J.","family":"Ting","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1291-0963","authenticated-orcid":false,"given":"Sohee","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1971-2249","authenticated-orcid":false,"given":"R.V. Paul","family":"Chan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judy E.","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawn A.","family":"Sim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter B.M.","family":"Thomas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haotian","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youxin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taiji","family":"Sakomoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anat","family":"Loewenstein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dennis S.C.","family":"Lam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Louis R.","family":"Pasquale","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tien Y.","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linda A.","family":"Lam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel S.W.","family":"Ting","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.preteyeres.2020.100900_bib1","series-title":"MEDICARE TELEMEDICINE HEALTH CARE PROVIDER FACT SHEET","author":"Centres for Medicare & Medicad Services","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib2","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.jsis.2011.03.006","article-title":"Building nation-wide information infrastructures in healthcare through modular implementation strategies","volume":"20","author":"Aanestad","year":"2011","journal-title":"J. Strat. Inf. Syst."},{"key":"10.1016\/j.preteyeres.2020.100900_bib3","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1503\/cmaj.131357","article-title":"Using telemedicine to screen for retinopathy of prematurity","volume":"186","author":"Abdul Aziz","year":"2014","journal-title":"CMAJ (Can. Med. Assoc. J.)"},{"key":"10.1016\/j.preteyeres.2020.100900_bib4","doi-asserted-by":"crossref","first-page":"5200","DOI":"10.1167\/iovs.16-19964","article-title":"Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning","volume":"57","author":"Abramoff","year":"2016","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib5","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1038\/s41746-018-0040-6","article-title":"Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices","volume":"1","author":"Abramoff","year":"2018","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.preteyeres.2020.100900_bib6","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1038\/s41746-018-0040-6","article-title":"Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices","volume":"1","author":"Abr\u00e0moff","year":"2018","journal-title":"NPJ Digit. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib7","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1089\/tmj.2020.0008","article-title":"Automated and computer-assisted detection, classification, and diagnosis of diabetic retinopathy","volume":"26","author":"Abramoff","year":"2020","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib8","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1167\/tvst.7.5.32","article-title":"Home monitoring of retinal sensitivity on a tablet device in intermediate age-related macular degeneration","volume":"7","author":"Adams","year":"2018","journal-title":"Transl. Vis. Sci. Technol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib9","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1109\/COMST.2016.2532458","article-title":"Next generation 5G wireless networks: a comprehensive survey","volume":"19","author":"Agiwal","year":"2016","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"10.1016\/j.preteyeres.2020.100900_bib10","first-page":"699","article-title":"Joslin vision network validation study: pilot image stabilization phase","volume":"69","author":"Aiello","year":"1998","journal-title":"J. Am. Optom. Assoc."},{"key":"10.1016\/j.preteyeres.2020.100900_bib11","doi-asserted-by":"crossref","first-page":"129","DOI":"10.5455\/aim.2013.21.129-134","article-title":"Barriers for adopting electronic health records (EHRs) by physicians","volume":"21","author":"Ajami","year":"2013","journal-title":"Acta Inf. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib12","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1097\/ICO.0000000000001848","article-title":"Novel use of telemedicine for corneal tissue evaluation in eye banking: establishing a standardized approach for the remote evaluation of donor corneas for transplantation","volume":"38","author":"Alabi","year":"2019","journal-title":"Cornea"},{"key":"10.1016\/j.preteyeres.2020.100900_bib13","first-page":"386","article-title":"Results of the national program for the prevention of blindness in childhood by retinopathy of prematurity in Argentina (2004-2016)","volume":"116","author":"Alda","year":"2018","journal-title":"Arch. Argent. Pediatr."},{"key":"10.1016\/j.preteyeres.2020.100900_bib14","doi-asserted-by":"crossref","first-page":"180972","DOI":"10.1155\/2015\/180972","article-title":"Optic disc and optic cup segmentation methodologies for glaucoma image detection: a survey","volume":"2015","author":"Almazroa","year":"2015","journal-title":"J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib15","series-title":"Telemedicine for ophthalmology information statement","year":"2018"},{"key":"10.1016\/j.preteyeres.2020.100900_bib16","series-title":"Augmented intelligence in health care. Policy","author":"American Medical Association","year":"2019"},{"key":"10.1016\/j.preteyeres.2020.100900_bib17","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-017-14507-5","article-title":"A new low-cost, compact, auto-phoropter for refractive assessment in developing countries","volume":"7","author":"Amirsolaimani","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.preteyeres.2020.100900_bib18","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.jtos.2018.01.002","article-title":"Web-based longitudinal remote assessment of dry eye symptoms","volume":"16","author":"Amparo","year":"2018","journal-title":"Ocul. Surf."},{"key":"10.1016\/j.preteyeres.2020.100900_bib19","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1159\/000300476","article-title":"L'Examen qualitatif de la fonction maculaire","volume":"114","author":"Amsler","year":"1947","journal-title":"Ophthalmologica"},{"key":"10.1016\/j.preteyeres.2020.100900_bib20","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1016\/j.ophtha.2017.06.028","article-title":"Can home monitoring allow earlier detection of rapid visual field progression in glaucoma?","volume":"124","author":"Anderson","year":"2017","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib21","first-page":"1328","article-title":"Integrating holistic and local deep features for glaucoma classification","author":"Annan","year":"2016","journal-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc."},{"key":"10.1016\/j.preteyeres.2020.100900_bib22","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1089\/tmj.2013.0241","article-title":"Improved access and cycle time with an ''in-house'' patient-centered teleglaucoma program versus traditional in-person assessment","volume":"20","author":"Arora","year":"2014","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib23","doi-asserted-by":"crossref","first-page":"1974","DOI":"10.1016\/j.ophtha.2016.05.029","article-title":"Detecting preperimetric glaucoma with standard automated perimetry using a deep learning classifier","volume":"123","author":"Asaoka","year":"2016","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib24","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1111\/imj.14309","article-title":"Integrating diabetic retinopathy screening within diabetes education services in Australia's diabetes and indigenous primary care clinics","volume":"49","author":"Atkinson-Briggs","year":"2019","journal-title":"Intern. Med. J."},{"key":"10.1016\/j.preteyeres.2020.100900_bib25","doi-asserted-by":"crossref","first-page":"1639","DOI":"10.1136\/bjo.2007.119628","article-title":"The accuracy of accredited glaucoma optometrists in the diagnosis and treatment recommendation for glaucoma","volume":"91","author":"Azuara-Blanco","year":"2007","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib26","first-page":"264","article-title":"Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology","volume":"8","author":"Balyen","year":"2019","journal-title":"Asia. Pac. J. Ophthalmol."},{"issue":"3","key":"10.1016\/j.preteyeres.2020.100900_bib27","doi-asserted-by":"crossref","first-page":"6","DOI":"10.7309\/jmtm.17","article-title":"Validation of near eye tool for refractive assessment (NETRA) \u2015 pilot study","volume":"1","author":"Bastawrous","year":"2012","journal-title":"J. Mob. Technol. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib28","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1001\/jamaophthalmol.2015.1468","article-title":"Development and validation of a smartphone-based visual acuity test (Peek acuity) for clinical practice and community-based fieldwork","volume":"133","author":"Bastawrous","year":"2015","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib29","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1007\/s11892-019-1189-3","article-title":"Artificial intelligence screening for diabetic retinopathy: the real-world emerging application","volume":"19","author":"Bellemo","year":"2019","journal-title":"Curr. Diabetes Rep."},{"key":"10.1016\/j.preteyeres.2020.100900_bib30","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","article-title":"Representation learning: a review and new perspectives","volume":"35","author":"Bengio","year":"2013","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.preteyeres.2020.100900_bib31","series-title":"WHO Warns Governments 'this Is Not a Drill' as Coronavirus Infections Near 100,000 Worldwide","author":"Berlinger","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib32","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1001\/jamaophthalmol.2018.0649","article-title":"Diagnostic accuracy of ophthalmoscopy vs telemedicine in examinations for retinopathy of prematurity","volume":"136","author":"Biten","year":"2018","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib33","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1055\/s-0038-1667077","article-title":"Recent developments in clinical terminologies - SNOMED CT, LOINC, and RxNorm","volume":"27","author":"Bodenreider","year":"2018","journal-title":"IMIA Yearb. Med. Inf."},{"key":"10.1016\/j.preteyeres.2020.100900_bib34","doi-asserted-by":"crossref","first-page":"BIO141","DOI":"10.1167\/iovs.17-21789","article-title":"Machine learning of the progression of intermediate age-related macular degeneration based on OCT imaging","volume":"58","author":"Bogunovic","year":"2017","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"issue":"7","key":"10.1016\/j.preteyeres.2020.100900_bib35","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/j.jfo.2020.05.005","article-title":"Teleconsultation in primary ophthalmic emergencies during the COVID-19 lockdown in Paris: experience with 500 patients in March and April 2020","volume":"43","author":"Bourdon","year":"2020","journal-title":"J. Fr. Ophtalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib36","doi-asserted-by":"crossref","first-page":"e339","DOI":"10.1016\/S2214-109X(13)70113-X","article-title":"Causes of vision loss worldwide, 1990-2010: a systematic analysis","volume":"1","author":"Bourne","year":"2013","journal-title":"Lancet. Glob. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib37","doi-asserted-by":"crossref","first-page":"2382","DOI":"10.1167\/iovs.11-7951","article-title":"Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurements","volume":"53","author":"Bowd","year":"2012","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib38","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1089\/tmj.2020.0011","article-title":"Telemedicine for age-related macular degeneration","volume":"26","author":"Brady","year":"2020","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib39","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1089\/tmj.2020.0010","article-title":"Telemedicine for retinopathy of prematurity","volume":"26","author":"Brady","year":"2020","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib40","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1097\/ICU.0000000000000493","article-title":"Improving accuracy for intraocular lens selection in cataract surgery","volume":"29","author":"Brandsdorfer","year":"2018","journal-title":"Curr. Opin. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib41","series-title":"'Tariff Set for Sweeping Change from Next Year","author":"Brennan","year":"2018"},{"key":"10.1016\/j.preteyeres.2020.100900_bib42","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/S0002-9394(14)75425-X","article-title":"Neural networks to identify glaucoma with structural and functional measurements","volume":"121","author":"Brigatti","year":"1996","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib43","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1056\/NEJMoa062655","article-title":"Ranibizumab versus verteporfin for neovascular age-related macular degeneration","volume":"355","author":"Brown","year":"2006","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib44","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1001\/jamaophthalmol.2018.1934","article-title":"automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks","volume":"136","author":"Brown","year":"2018","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib45","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1038\/s41433-019-0383-5","article-title":"Failing to plan and planning to fail. Can we predict the future growth of demand on UK Eye Care Services?","volume":"33","author":"Buchan","year":"2019","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib46","doi-asserted-by":"crossref","first-page":"4147","DOI":"10.1167\/iovs.05-0366","article-title":"Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study","volume":"46","author":"Burgansky-Eliash","year":"2005","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib47","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1001\/jamaophthalmol.2017.3782","article-title":"Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks","volume":"135","author":"Burlina","year":"2017","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib48","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1001\/jamaophthalmol.2016.0611","article-title":"Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis","volume":"134","author":"Campbell","year":"2016","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib49","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.ajo.2004.10.064","article-title":"A telemedicine program for diabetic retinopathy in a veterans Affairs medical center--the Joslin vision network eye health care model","volume":"139","author":"Cavallerano","year":"2005","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib50","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1097\/IJG.0000000000000354","article-title":"Automated detection of glaucoma from topographic features of the optic nerve head in color fundus photographs","volume":"25","author":"Chakrabarty","year":"2016","journal-title":"J. Glaucoma"},{"key":"10.1016\/j.preteyeres.2020.100900_bib51","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1109\/TBME.2002.802012","article-title":"Comparison of machine learning and traditional classifiers in glaucoma diagnosis","volume":"49","author":"Chan","year":"2002","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.preteyeres.2020.100900_bib52","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1136\/bjo.2005.078063","article-title":"Characteristics of severe retinopathy of prematurity patients in China: a repeat of the first epidemic?","volume":"90","author":"Chen","year":"2006","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib53","doi-asserted-by":"crossref","first-page":"1832","DOI":"10.1093\/bioinformatics\/btw074","article-title":"Gene expression inference with deep learning","volume":"32","author":"Chen","year":"2016","journal-title":"Bioinformatics"},{"key":"10.1016\/j.preteyeres.2020.100900_bib54","doi-asserted-by":"crossref","first-page":"e447","DOI":"10.1016\/S2468-2667(19)30160-4","article-title":"Healthy China 2030: moving from blueprint to action with a new focus on public health","volume":"4","author":"Chen","year":"2019","journal-title":"Lancet Public Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib55","doi-asserted-by":"crossref","first-page":"2355","DOI":"10.1109\/TMI.2012.2218118","article-title":"Peripapillary atrophy detection by sparse biologically inspired feature manifold","volume":"31","author":"Cheng","year":"2012","journal-title":"IEEE Trans. Med. Imag."},{"key":"10.1016\/j.preteyeres.2020.100900_bib56","series-title":"Artificial Intelligence in Diabetic Eye Disease Screening', Asia Pac J Ophthalmol (Phila)","author":"Cheung","year":"2019"},{"key":"10.1016\/j.preteyeres.2020.100900_bib57","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.ophtha.2013.10.027","article-title":"Randomized trial of a home monitoring system for early detection of choroidal neovascularization home monitoring of the Eye (HOME) study","volume":"121","author":"Group Areds Home Study Research","year":"2014","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib58","doi-asserted-by":"crossref","first-page":"1542","DOI":"10.1097\/IAE.0000000000000940","article-title":"Effectiveness OF different monitoring modalities IN the detection OF neovascular age-related macular degeneration: the home study, report number 3","volume":"36","author":"Chew","year":"2016","journal-title":"Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib59","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1001\/archopht.124.3.322","article-title":"Accuracy and reliability of remote retinopathy of prematurity diagnosis","volume":"124","author":"Chiang","year":"2006","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib60","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1001\/archopht.125.7.875","article-title":"Interexpert agreement of plus disease diagnosis in retinopathy of prematurity","volume":"125","author":"Chiang","year":"2007","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib61","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1016\/j.ophtha.2012.01.002","article-title":"Detection of clinically significant retinopathy of prematurity using wide-angle digital retinal photography: a report by the American Academy of Ophthalmology","volume":"119","author":"Chiang","year":"2012","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib62","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.ophtha.2019.09.036","article-title":"Deep learning approaches predict glaucomatous visual field damage from OCT optic nerve head en face images and retinal nerve fiber layer thickness maps","volume":"127","author":"Christopher","year":"2020","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib63","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1097\/OPX.0000000000000726","article-title":"Evaluation of the SVOne: a handheld, smartphone-based autorefractor","volume":"92","author":"Ciuffreda","year":"2015","journal-title":"Optom. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib64","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1136\/bjophthalmol-2016-308993","article-title":"Virtual clinics in glaucoma care: face-to-face versus remote decision-making","volume":"101","author":"Clarke","year":"2017","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib65","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1111\/tmi.12652","article-title":"Diabetic retinopathy in Tanzania: prevalence and risk factors at entry into a regional screening programme","volume":"21","author":"Cleland","year":"2016","journal-title":"Trop. Med. Int. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib66","series-title":"'Adoption and Spread of Innovation in the NHS","author":"Collins","year":"2018"},{"key":"10.1016\/j.preteyeres.2020.100900_bib67","doi-asserted-by":"crossref","first-page":"745","DOI":"10.2147\/OPTH.S75000","article-title":"Virtual glaucoma clinics: patient acceptance and quality of patient education compared to standard clinics","volume":"9","author":"Court","year":"2015","journal-title":"Clin. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib68","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1038\/s41588-019-0556-y","article-title":"Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression","volume":"52","author":"Craig","year":"2020","journal-title":"Nat. Genet."},{"key":"10.1016\/j.preteyeres.2020.100900_bib69","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1001\/archopht.119.8.1110","article-title":"Multicenter trial of cryotherapy for retinopathy of prematurity: ophthalmological outcomes at 10 years","volume":"119","year":"2001","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib70","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1016\/j.ajo.2011.05.008","article-title":"Medicare costs for neovascular age-related macular degeneration, 1994-2007","volume":"152","author":"Day","year":"2011","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib71","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1038\/s41591-018-0107-6","article-title":"Clinically applicable deep learning for diagnosis and referral in retinal disease","volume":"24","author":"De Fauw","year":"2018","journal-title":"Nat. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib72","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1097\/OPX.0000000000001278","article-title":"Low vision enhancement with head-mounted video display systems: are we there yet?","volume":"95","author":"Deemer","year":"2018","journal-title":"Optom. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib73","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1353\/cpr.2019.0018","article-title":"Lessons learned from a community-academic project using telemedicine for eye screening among urban Latinos","volume":"13","author":"DeNomie","year":"2019","journal-title":"Prog. Community Health Partnersh."},{"key":"10.1016\/j.preteyeres.2020.100900_bib74","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1167\/iovs.17-22617","article-title":"A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head","volume":"59","author":"Devalla","year":"2018","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib75","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1136\/bjo.2008.148908","article-title":"Wide-field digital retinal imaging versus binocular indirect ophthalmoscopy for retinopathy of prematurity screening: a two-observer prospective, randomised comparison","volume":"93","author":"Dhaliwal","year":"2009","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib76","first-page":"619","article-title":"VISION 2020: the right to sight. A global initiative for the elimination of avoidable blindness","volume":"72","author":"Di Stefano","year":"2001","journal-title":"Optometry"},{"issue":"Suppl. 2","key":"10.1016\/j.preteyeres.2020.100900_bib78","first-page":"S80","article-title":"Can we stop the current epidemic of blindness from retinopathy of prematurity?","volume":"53","author":"Dutta","year":"2016","journal-title":"Indian Pediatr."},{"key":"10.1016\/j.preteyeres.2020.100900_bib79","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.1001\/archopht.121.12.1684","article-title":"Revised indications for the treatment of retinopathy of prematurity: results of the early treatment for retinopathy of prematurity randomized trial","volume":"121","year":"2003","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib80","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1097\/IAE.0000000000000689","article-title":"HEADS-UP surgery for vitreoretinal procedures: an experimental and clinical study","volume":"36","author":"Eckardt","year":"2016","journal-title":"Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib81","doi-asserted-by":"crossref","DOI":"10.1038\/nature22985","article-title":"Dermatologist-level classification of skin cancer with deep neural networks (vol 542, pg 115, 2017)","volume":"546","author":"Esteva","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.preteyeres.2020.100900_bib82","author":"Ferguson"},{"key":"10.1016\/j.preteyeres.2020.100900_bib83","doi-asserted-by":"crossref","first-page":"106","DOI":"10.3928\/23258160-20140122-01","article-title":"Stanford university network for diagnosis of retinopathy of prematurity (SUNDROP): five years of screening with telemedicine","volume":"45","author":"Fijalkowski","year":"2014","journal-title":"Ophthalmic Surg. Lasers Imaging Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib84","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s12529-010-9130-9","article-title":"Concerns about exercise are related to walk test results in pulmonary rehabilitation for patients with COPD","volume":"19","author":"Fischer","year":"2012","journal-title":"Int. J. Behav. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib85","doi-asserted-by":"crossref","first-page":"e1221","DOI":"10.1016\/S2214-109X(17)30393-5","article-title":"Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis","volume":"5","author":"Flaxman","year":"2017","journal-title":"Lancet. Glob. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib86","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1370\/afm.293","article-title":"Screening for primary open-angle, glaucoma in the primary care setting: an update for the US Preventive Services Task Force","volume":"3","author":"Fleming","year":"2005","journal-title":"Ann. Fam. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib87","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1038\/eye.2017.1","article-title":"Surveillance of sight loss due to delay in ophthalmic treatment or review: frequency, cause and outcome","volume":"31","author":"Foot","year":"2017","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib88","doi-asserted-by":"crossref","first-page":"728","DOI":"10.2471\/BLT.12.104034","article-title":"Global cost of correcting vision impairment from uncorrected refractive error","volume":"90","author":"Fricke","year":"2012","journal-title":"Bull. World Health Organ."},{"key":"10.1016\/j.preteyeres.2020.100900_bib89","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1001\/archopht.122.4.564","article-title":"Prevalence of age-related macular degeneration in the United States","volume":"122","author":"Friedman","year":"2004","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib90","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1089\/153056204773644526","article-title":"Quebec population and telehealth: a survey on knowledge and perceptions","volume":"10","author":"Gagnon","year":"2004","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib91","article-title":"Comparison of a novel cell phone-based refraction technique (Netra-G) with subjective refraction","volume":"54","author":"Gaiser","year":"2013","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib92","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1089\/tmj.2020.0009","article-title":"Telemedicine for glaucoma: guidelines and recommendations","volume":"26","author":"Gan","year":"2020","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib93","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1016\/j.ophtha.2017.02.008","article-title":"Automated identification of diabetic retinopathy using deep learning","volume":"124","author":"Gargeya","year":"2017","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib94","doi-asserted-by":"crossref","first-page":"1544","DOI":"10.1001\/jamainternmed.2018.3763","article-title":"Potential biases in machine learning algorithms using electronic health record data","volume":"178","author":"Gianfrancesco","year":"2018","journal-title":"JAMA Intern. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib95","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.amepre.2012.02.028","article-title":"Diabetic retinopathy and age-related macular degeneration in the U.S","volume":"43","author":"Gibson","year":"2012","journal-title":"Am. J. Prev. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib96","first-page":"CD001117","article-title":"Self-management education and regular practitioner review for adults with asthma","author":"Gibson","year":"2003","journal-title":"Cochrane Database Syst. Rev."},{"key":"10.1016\/j.preteyeres.2020.100900_bib97","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1038\/sj.eye.6702841","article-title":"Changing challenges in the control of blindness in children","volume":"21","author":"Gilbert","year":"2007","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib98","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.earlhumdev.2007.11.009","article-title":"Retinopathy of prematurity: a global perspective of the epidemics, population of babies at risk and implications for control","volume":"84","author":"Gilbert","year":"2008","journal-title":"Early Hum. Dev."},{"key":"10.1016\/j.preteyeres.2020.100900_bib99","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1016\/S0140-6736(15)60692-4","article-title":"Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013","volume":"386","year":"2015","journal-title":"Lancet"},{"key":"10.1016\/j.preteyeres.2020.100900_bib100","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0027524","article-title":"Assessment of automated disease detection in diabetic retinopathy screening using two-field photography","volume":"6","author":"Goatman","year":"2011","journal-title":"PloS One"},{"key":"10.1016\/j.preteyeres.2020.100900_bib101","first-page":"3362","article-title":"Interpretation of automated perimetry for glaucoma by neural network","volume":"35","author":"Goldbaum","year":"1994","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib102","first-page":"162","article-title":"Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry","volume":"43","author":"Goldbaum","year":"2002","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib103","doi-asserted-by":"crossref","first-page":"840","DOI":"10.4103\/ijo.IJO_1177_18","article-title":"Smartphone guided wide-field imaging for retinopathy of prematurity in neonatal intensive care unit - a Smart ROP (SROP) initiative","volume":"67","author":"Goyal","year":"2019","journal-title":"Indian J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib104","doi-asserted-by":"crossref","first-page":"1410","DOI":"10.1016\/j.ophtha.2018.02.037","article-title":"A deep learning algorithm for prediction of age-related eye disease study severity scale for age-related macular degeneration from color fundus photography","volume":"125","author":"Grassmann","year":"2018","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib105","doi-asserted-by":"crossref","first-page":"m998","DOI":"10.1136\/bmj.m998","article-title":"Video consultations for covid-19","volume":"368","author":"Greenhalgh","year":"2020","journal-title":"BMJ"},{"key":"10.1016\/j.preteyeres.2020.100900_bib106","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1097\/00006982-199212020-00009","article-title":"Pathologic findings in pathologic myopia","volume":"12","author":"Grossniklaus","year":"1992","journal-title":"Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib107","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1001\/jama.2016.17216","article-title":"Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs","volume":"316","author":"Gulshan","year":"2016","journal-title":"J. Am. Med. Assoc"},{"issue":"9","key":"10.1016\/j.preteyeres.2020.100900_bib108","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1001\/jamaophthalmol.2019.2004","article-title":"Performance of a deep-learning algorithm vs manual grading for detecting diabetic retinopathy in India","volume":"137","author":"Gulshan","year":"2019","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib109","article-title":"Acceptability and use of glaucoma virtual clinics in the UK: a national survey of clinical leads","volume":"3","author":"Gunn","year":"2018","journal-title":"BMJ Open Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib110","doi-asserted-by":"crossref","first-page":"2134","DOI":"10.1016\/j.ophtha.2010.02.032","article-title":"A treat and extend regimen using ranibizumab for neovascular age-related macular degeneration clinical and economic impact","volume":"117","author":"Gupta","year":"2010","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib111","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ajo.2015.12.005","article-title":"Practice patterns in retinopathy of prematurity treatment for disease milder than recommended by guidelines","volume":"163","author":"Gupta","year":"2016","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib112","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1167\/iovs.16-21404","article-title":"Beneficial effects of spatial remapping for reading with simulated central field loss","volume":"59","author":"Gupta","year":"2018","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib113","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1186\/s12877-016-0408-x","article-title":"Diabetes mellitus medication use and catastrophic healthcare expenditure among adults aged 50+ years in China and India: results from the WHO study on global AGEing and adult health (SAGE)","volume":"17","author":"Gwatidzo","year":"2017","journal-title":"BMC Geriatr."},{"key":"10.1016\/j.preteyeres.2020.100900_bib114","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/j.compmedimag.2013.09.005","article-title":"Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: a review","volume":"37","author":"Haleem","year":"2013","journal-title":"Comput. Med. Imag. Graph."},{"key":"10.1016\/j.preteyeres.2020.100900_bib115","series-title":"Doctors Are Using AI to Triage Covid-19 Paitents. The Tools May Be Here to Stay","author":"Hao","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib116","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1093\/heapol\/czy004","article-title":"Reducing blindness from retinopathy of prematurity (ROP) in Argentina through collaboration, advocacy and policy implementation","volume":"33","author":"Hariharan","year":"2018","journal-title":"Health Pol. Plann."},{"key":"10.1016\/j.preteyeres.2020.100900_bib117","doi-asserted-by":"crossref","first-page":"122","DOI":"10.3109\/09286586.2015.1099683","article-title":"Improving access to eye care among persons at high-risk of glaucoma in Philadelphia - design and methodology: the Philadelphia glaucoma detection and treatment project","volume":"23","author":"Hark","year":"2016","journal-title":"Ophthalmic Epidemiol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib118","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.ajo.2017.06.024","article-title":"Philadelphia telemedicine glaucoma detection and follow-up study: methods and screening results","volume":"181","author":"Hark","year":"2017","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib119","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1097\/PHH.0000000000000665","article-title":"Innovation and entrepreneurship: harnessing the public health skill set in a new era of health reforms and investment","volume":"24","author":"Hatef","year":"2018","journal-title":"J. Publ. Health Manag. Pract."},{"key":"10.1016\/j.preteyeres.2020.100900_bib120","doi-asserted-by":"crossref","first-page":"1595","DOI":"10.1016\/j.ophtha.2009.11.003","article-title":"Long-term pattern of progression of myopic maculopathy: a natural history study","volume":"117","author":"Hayashi","year":"2010","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib121","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1016\/S0140-6736(13)60178-6","article-title":"Retinopathy of prematurity","volume":"382","author":"Hellstrom","year":"2013","journal-title":"Lancet"},{"key":"10.1016\/j.preteyeres.2020.100900_bib122","doi-asserted-by":"crossref","first-page":"f1035","DOI":"10.1136\/bmj.f1035","article-title":"Cost effectiveness of telehealth for patients with long term conditions (Whole Systems Demonstrator telehealth questionnaire study): nested economic evaluation in a pragmatic, cluster randomised controlled trial","volume":"346","author":"Henderson","year":"2013","journal-title":"Br. Med. J."},{"key":"10.1016\/j.preteyeres.2020.100900_bib123","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1002\/(SICI)1097-0258(19960715)15:13<1349::AID-SIM270>3.0.CO;2-B","article-title":"Classifying visual field data","volume":"15","author":"Hilton","year":"1996","journal-title":"Stat. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib124","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1177\/0098858820933497","article-title":"Shedding light on telemedicine & online prescribing: the need to balance access to health care and quality of care","volume":"46","author":"Hoffman","year":"2020","journal-title":"Am. J. Law Med."},{"issue":"2","key":"10.1016\/j.preteyeres.2020.100900_bib125","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.survophthal.2019.09.001","article-title":"Smartphone use in ophthalmology: what is their place in clinical practice?","volume":"65","author":"Hogarty","year":"2019","journal-title":"Surv. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib126","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1056\/NEJMp2003539","article-title":"Virtually perfect? Telemedicine for covid-19","volume":"382","author":"Hollander","year":"2020","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib127","doi-asserted-by":"crossref","DOI":"10.2196\/19577","article-title":"Telemedicine during the COVID-19 pandemic: experiences from western China","volume":"22","author":"Hong","year":"2020","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.preteyeres.2020.100900_bib128","first-page":"495","volume":"vol. 26","author":"Horton","year":"2020"},{"issue":"Suppl. 1","key":"10.1016\/j.preteyeres.2020.100900_bib129","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.1186\/1742-4755-10-S1-S1","article-title":"born too soon: preterm birth matters","volume":"10","author":"Howson","year":"2013","journal-title":"Reprod. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib130","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1167\/iovs.06-0320","article-title":"Rule extraction for glaucoma detection with summary data from StratusOCT","volume":"48","author":"Huang","year":"2007","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib131","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/S0161-6420(93)31664-7","article-title":"Diode laser photocoagulation for threshold retinopathy of prematurity. A randomized study","volume":"100","author":"Hunter","year":"1993","journal-title":"Ophthalmology"},{"issue":"1","key":"10.1016\/j.preteyeres.2020.100900_bib132","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1001\/jamaophthalmol.2019.4815","article-title":"Characteristics and risk factors associated with diagnosed and undiagnosed symptomatic dry eye using a smartphone application","volume":"138","author":"Inomata","year":"2019","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib133","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1001\/archopht.123.7.991","article-title":"The international classification of retinopathy of prematurity revisited","volume":"123","year":"2005","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib134","series-title":"ICO guidelines for diabetic eye care","author":"International Council of Ophthalmology","year":"2017"},{"key":"10.1016\/j.preteyeres.2020.100900_bib135","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.jcjo.2017.08.018","article-title":"Cost analysis of remote telemedicine screening for retinopathy of prematurity","volume":"53","author":"Isaac","year":"2018","journal-title":"Can. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib136","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.cmpb.2015.08.002","article-title":"An adaptive threshold based image processing technique for improved glaucoma detection and classification","volume":"122","author":"Issac","year":"2015","journal-title":"Comput. Methods Progr. Biomed."},{"key":"10.1016\/j.preteyeres.2020.100900_bib137","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1007\/s12325-016-0388-4","article-title":"Systematic review of current devices for 24-h intraocular pressure monitoring","volume":"33","author":"Ittoop","year":"2016","journal-title":"Adv. Ther."},{"key":"10.1016\/j.preteyeres.2020.100900_bib138","doi-asserted-by":"crossref","first-page":"e3158","DOI":"10.1002\/dmrr.3158","article-title":"Standards of medical care for type 2 diabetes in China 2019","volume":"35","author":"Jia","year":"2019","journal-title":"Diabetes Metab. Res. Rev."},{"key":"10.1016\/j.preteyeres.2020.100900_bib139","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1186\/s12886-017-0484-5","article-title":"Telemedicine screening of retinal diseases with a handheld portable non-mydriatic fundus camera","volume":"17","author":"Jin","year":"2017","journal-title":"BMC Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib140","first-page":"139","article-title":"A pilot study to improve access to eye care services for patients in rural India by implementing community ophthalmology through innovative telehealth technology","volume":"214","author":"John","year":"2015","journal-title":"Stud. Health Technol. Inf."},{"key":"10.1016\/j.preteyeres.2020.100900_bib141","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1111\/ajr.12150","article-title":"Real-time teleophthalmology in rural Western Australia","volume":"23","author":"Johnson","year":"2015","journal-title":"Aust. J. Rural Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib142","doi-asserted-by":"crossref","first-page":"2183","DOI":"10.1016\/S0140-6736(17)31469-1","article-title":"Glaucoma","volume":"390","author":"Jonas","year":"2017","journal-title":"Lancet"},{"key":"10.1016\/j.preteyeres.2020.100900_bib143","doi-asserted-by":"crossref","DOI":"10.1016\/S0140-6736(17)33168-9","article-title":"Diabetic retinopathy in China: population-based studies and clinical and experimental investigations","volume":"390","author":"Jonas","year":"2017","journal-title":"Lancet"},{"key":"10.1016\/j.preteyeres.2020.100900_bib144","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1097\/IAE.0b013e3182899258","article-title":"Feasibility of a novel remote daily monitoring system for age-related macular degeneration using mobile handheld devices: results of a pilot study","volume":"33","author":"Kaiser","year":"2013","journal-title":"Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib145","first-page":"4954532","article-title":"Metamorphopsia score and central visual field outcomes in diabetic cystoid macular edema","author":"Kalinowska","year":"2018","journal-title":"BioMed Res. Int."},{"key":"10.1016\/j.preteyeres.2020.100900_bib146","doi-asserted-by":"crossref","first-page":"2345","DOI":"10.1016\/j.ophtha.2016.07.020","article-title":"plus disease in retinopathy of prematurity: improving diagnosis by ranking disease severity and using quantitative image analysis","volume":"123","author":"Kalpathy-Cramer","year":"2016","journal-title":"Ophthalmology"},{"issue":"7","key":"10.1016\/j.preteyeres.2020.100900_bib147","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1038\/s41433-020-0953-6","article-title":"Oculoplastic video-based telemedicine consultations: covid-19 and beyond","volume":"34","author":"Kang","year":"2020","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib148","first-page":"187","article-title":"Artificial intelligence and optical coherence tomography imaging","volume":"8","author":"Kapoor","year":"2019","journal-title":"Asia. Pac. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib149","doi-asserted-by":"crossref","first-page":"907","DOI":"10.2147\/COPD.S49622","article-title":"Self-management in patients with COPD: theoretical context, content, outcomes, and integration into clinical care","volume":"9","author":"Kaptein","year":"2014","journal-title":"Int. J. Chronic Obstr. Pulm. Dis."},{"key":"10.1016\/j.preteyeres.2020.100900_bib150","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1111\/cxo.12065","article-title":"Collaborative care and teleglaucoma: a novel approach to delivering glaucoma services in Northern Alberta, Canada","volume":"96","author":"Kassam","year":"2013","journal-title":"Clin. Exp. Optom."},{"key":"10.1016\/j.preteyeres.2020.100900_bib151","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1089\/tmj.2017.0100","article-title":"Tele-ophthalmology for age-related macular degeneration and diabetic retinopathy screening: a systematic review and meta-analysis","volume":"24","author":"Kawaguchi","year":"2018","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib152","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1111\/ceo.13575","article-title":"Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs","volume":"47","author":"Keel","year":"2019","journal-title":"Clin. Exp. Ophthalmol."},{"issue":"23","key":"10.1016\/j.preteyeres.2020.100900_bib153","doi-asserted-by":"crossref","first-page":"e82","DOI":"10.1056\/NEJMp2005835","article-title":"Covid-19 and health care\u2019s digital revolution","volume":"382","author":"Keesara","year":"2020","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib154","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.jaapos.2008.02.012","article-title":"Retinopathy of prematurity care: patterns of care and workforce analysis","volume":"12","author":"Kemper","year":"2008","journal-title":"J aapos"},{"key":"10.1016\/j.preteyeres.2020.100900_bib155","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1016\/j.cell.2018.02.010","article-title":"Identifying medical diagnoses and treatable diseases by image-based deep learning","volume":"172","author":"Kermany","year":"2018","journal-title":"Cell"},{"issue":"3","key":"10.1016\/j.preteyeres.2020.100900_bib156","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1136\/bjophthalmol-2019-314161","article-title":"Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care","volume":"104","author":"Kern","year":"2019","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib157","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.diabres.2013.05.006","article-title":"Preventing diabetes blindness: cost effectiveness of a screening programme using digital non-mydriatic fundus photography for diabetic retinopathy in a primary health care setting in South Africa","volume":"101","author":"Khan","year":"2013","journal-title":"Diabetes Res. Clin. Pract."},{"key":"10.1016\/j.preteyeres.2020.100900_bib158","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.puhe.2014.10.010","article-title":"Improving patient access to prevent sight loss: ophthalmic electronic referrals and communication (Scotland)","volume":"129","author":"Khan","year":"2015","journal-title":"Publ. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib159","first-page":"484","article-title":"Diabetic retinopathy--results of a two year screening programme in two medical units in Singapore","volume":"19","author":"Khoo","year":"1990","journal-title":"Ann. Acad. Med. Singapore"},{"key":"10.1016\/j.preteyeres.2020.100900_bib160","doi-asserted-by":"crossref","first-page":"2604","DOI":"10.1016\/j.ophtha.2013.06.029","article-title":"Evaluation of telemedicine for screening of diabetic retinopathy in the Veterans Health Administration","volume":"120","author":"Kirkizlar","year":"2013","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib161","doi-asserted-by":"crossref","first-page":"278","DOI":"10.5694\/j.1326-5377.2006.tb00237.x","article-title":"The efficacy of a nurse-led preoperative cataract assessment and postoperative care clinic","volume":"184","author":"Kirkwood","year":"2006","journal-title":"Med. J. Aust."},{"key":"10.1016\/j.preteyeres.2020.100900_bib162","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.ophtha.2006.10.040","article-title":"Fifteen-year cumulative incidence of age-related macular degeneration: the Beaver Dam Eye Study","volume":"114","author":"Klein","year":"2007","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib163","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.2147\/OPTH.S92409","article-title":"Experiences with developing and implementing a virtual clinic for glaucoma care in an NHS setting","volume":"9","author":"Kotecha","year":"2015","journal-title":"Clin. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib164","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1038\/eye.2017.9","article-title":"A technician-delivered 'virtual clinic' for triaging low-risk glaucoma referrals","volume":"31","author":"Kotecha","year":"2017","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib165","doi-asserted-by":"crossref","first-page":"1466","DOI":"10.1016\/j.csbj.2020.06.017","article-title":"Deep learning models in genomics; are we there yet?","volume":"18","author":"Koumakis","year":"2020","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"10.1016\/j.preteyeres.2020.100900_bib166","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.1016\/j.ophtha.2018.01.034","article-title":"Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy","volume":"125","author":"Krause","year":"2018","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib167","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1111\/j.1442-9071.2006.01304.x","article-title":"Telemedicine-friendly, portable tonometers: an evaluation for intraocular pressure screening","volume":"34","author":"Kumar","year":"2006","journal-title":"Clin. Exp. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib168","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1111\/j.1442-9071.2007.01457.x","article-title":"Glaucoma screening: analysis of conventional and telemedicine-friendly devices","volume":"35","author":"Kumar","year":"2007","journal-title":"Clin. Exp. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib169","series-title":"Reporting on Coronavirus: 'fear Is Almost as Great a Threat as the Disease","author":"Kuo","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib170","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1258\/135763303769211337","article-title":"Tele-ophthalmology and conventional ophthalmology using in remote Greece a mobile medical unit","volume":"9","author":"Labiris","year":"2003","journal-title":"J. Telemed. Telecare"},{"key":"10.1016\/j.preteyeres.2020.100900_bib171","first-page":"314","article-title":"A systematic review of teleophthalmological studies in Europe","volume":"11","author":"Labiris","year":"2018","journal-title":"Int. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib172","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1148\/radiol.2017162326","article-title":"Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks","volume":"284","author":"Lakhani","year":"2017","journal-title":"Radiology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib173","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1001\/archopht.1994.01090140028007","article-title":"Laser therapy for retinopathy of prematurity. Laser ROP Study Group","volume":"112","author":"Laser ROP Study Group","year":"1994","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib174","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"10.1016\/j.preteyeres.2020.100900_bib175","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1001\/archopht.124.1.12","article-title":"A multicenter, retrospective pilot study of resource use and costs associated with severity of disease in glaucoma","volume":"124","author":"Lee","year":"2006","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib176","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.oret.2016.12.009","article-title":"Deep learning is effective for classifying normal versus age-related macular degeneration OCT images","volume":"1","author":"Lee","year":"2017","journal-title":"Ophthalmology Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib177","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph15081643","article-title":"Media health literacy, eHealth literacy, and the role of the social environment in context","volume":"15","author":"Levin-Zamir","year":"2018","journal-title":"Int. J. Environ. Res. Publ. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib178","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1038\/s41433-018-0055-x","article-title":"Prevalence of diabetic retinopathy and visual impairment in patients with diabetes mellitus in Zambia through the implementation of a mobile diabetic retinopathy screening project in the Copperbelt province: a cross-sectional study","volume":"32","author":"Lewis","year":"2018","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib179","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1001\/jamaophthalmol.2014.5014","article-title":"Prospective evaluation of teleophthalmology in screening and recurrence monitoring of neovascular age-related macular degeneration: a randomized clinical trial","volume":"133","author":"Li","year":"2015","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib180","doi-asserted-by":"crossref","DOI":"10.1186\/s12880-018-0273-5","article-title":"Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network","volume":"18","author":"Li","year":"2018","journal-title":"BMC Med. Imag."},{"key":"10.1016\/j.preteyeres.2020.100900_bib181","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1016\/j.ophtha.2018.01.023","article-title":"Efficacy of a deep learning system for detecting glaucomatous optic neuropathy based on color fundus photographs","volume":"125","author":"Li","year":"2018","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib182","doi-asserted-by":"crossref","first-page":"2509","DOI":"10.2337\/dc18-0147","article-title":"An automated grading system for detection of vision-threatening referable diabetic retinopathy on the basis of color fundus photographs","volume":"41","author":"Li","year":"2018","journal-title":"Diabetes Care"},{"key":"10.1016\/j.preteyeres.2020.100900_bib183","doi-asserted-by":"crossref","first-page":"618","DOI":"10.21037\/atm.2019.11.28","article-title":"A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images","volume":"7","author":"Li","year":"2019","journal-title":"Ann. Transl. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib184","doi-asserted-by":"crossref","DOI":"10.1167\/tvst.9.2.3","article-title":"Development and evaluation of a deep learning system for screening retinal hemorrhage based on ultra-widefield fundus images","volume":"9","author":"Li","year":"2020","journal-title":"Transl. Vis. Sci. Techn."},{"key":"10.1016\/j.preteyeres.2020.100900_bib185","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1038\/s42003-019-0730-x","article-title":"Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images","volume":"3","author":"Li","year":"2020","journal-title":"Commun. Biol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib186","doi-asserted-by":"crossref","first-page":"8250","DOI":"10.1167\/iovs.11-7472","article-title":"Prevalence of primary open angle glaucoma in a rural adult Chinese population: the Handan eye study","volume":"52","author":"Liang","year":"2011","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib187","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1001\/jamaophthalmol.2018.1843","article-title":"Association between a centrally reimbursed fee schedule policy and access to cataract surgery in the universal coverage scheme in Thailand","volume":"136","author":"Limwattananon","year":"2018","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib188","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0002-9394(02)01836-6","article-title":"Neural networks to identify glaucomatous visual field progression","volume":"135","author":"Lin","year":"2003","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib189","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002674","article-title":"Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: a retrospective, multicentre machine learning study","volume":"15","author":"Lin","year":"2018","journal-title":"PLoS Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib190","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1016\/S0140-6736(17)30544-5","article-title":"Cataracts","volume":"390","author":"Liu","year":"2017","journal-title":"Lancet"},{"issue":"12","key":"10.1016\/j.preteyeres.2020.100900_bib191","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1001\/jamaophthalmol.2019.3501","article-title":"Development and validation of a deep learning system to detect glaucomatous optic neuropathy using fundus photographs","volume":"137","author":"Liu","year":"2019","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib192","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1016\/S0161-6420(03)00074-5","article-title":"Replacing the Amsler grid: a new method for monitoring patients with age-related macular degeneration","volume":"110","author":"Loewenstein","year":"2003","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib193","doi-asserted-by":"crossref","first-page":"191","DOI":"10.4103\/0301-4738.181742","article-title":"A novel smartphone ophthalmic imaging adapter: user feasibility studies in Hyderabad, India","volume":"64","author":"Ludwig","year":"2016","journal-title":"Indian J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib194","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1089\/tmj.2013.0185","article-title":"A novel tele-eye protocol for ocular disease detection and access to eye care services","volume":"20","author":"Maa","year":"2014","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib195","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1001\/jamaophthalmol.2014.335","article-title":"Novel telemedicine device for diagnosis of corneal abrasions and ulcers in resource-poor settings","volume":"132","author":"Maamari","year":"2014","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib196","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1093\/jamia\/ocv189","article-title":"SMART on FHIR: a standards-based, interoperable apps platform for electronic health records","volume":"23","author":"Mandel","year":"2016","journal-title":"J. Am. Med. Inf. Assoc."},{"key":"10.1016\/j.preteyeres.2020.100900_bib197","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1097\/IJG.0000000000000988","article-title":"Deep-learning classifier with an ultrawide-field scanning laser ophthalmoscope detects glaucoma visual field severity","volume":"27","author":"Masumoto","year":"2018","journal-title":"J. Glaucoma"},{"key":"10.1016\/j.preteyeres.2020.100900_bib198","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1097\/IJG.0000000000000988","article-title":"Deep-learning classifier with an ultrawide-field scanning laser ophthalmoscope detects glaucoma visual field severity","volume":"27","author":"Masumoto","year":"2018","journal-title":"J. Glaucoma"},{"key":"10.1016\/j.preteyeres.2020.100900_bib199","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1038\/s41746-019-0111-3","article-title":"Digital health: a path to validation","volume":"2","author":"Mathews","year":"2019","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.preteyeres.2020.100900_bib200","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1038\/s41591-019-0708-8","article-title":"15 ways Silicon Valley is harnessing Big Data for health","volume":"26","author":"McCall","year":"2020","journal-title":"Nat. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib201","first-page":"12","article-title":"A proposal for the Dartmouth summer research project on artificial intelligence - August 31, 1955","volume":"27","author":"McCarthy","year":"2006","journal-title":"AI Mag."},{"key":"10.1016\/j.preteyeres.2020.100900_bib202","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/S0161-6420(91)32247-4","article-title":"Laser photocoagulation for stage 3+ retinopathy of prematurity","volume":"98","author":"McNamara","year":"1991","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib203","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/j.ophtha.2018.12.033","article-title":"From machine to machine: an OCT-trained deep learning algorithm for objective quantification of glaucomatous damage in fundus photographs","volume":"126","author":"Medeiros","year":"2019","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib204","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1177\/1932296816629158","article-title":"Current and next generation portable screening devices for diabetic retinopathy","volume":"10","author":"Micheletti","year":"2016","journal-title":"J. Diabetes Sci. Technol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib205","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.ajo.2017.07.010","article-title":"Glaucoma screening in Nepal: cup-to-disc estimate with standard mydriatic fundus camera compared to portable nonmydriatic camera","volume":"182","author":"Miller","year":"2017","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib206","doi-asserted-by":"crossref","first-page":"342","DOI":"10.7326\/0003-4819-159-5-201309030-00008","article-title":"Screening for peripheral artery disease and cardiovascular disease risk assessment with the ankle-brachial index in adults: U.S. Preventive services task Force recommendation statement","volume":"159","author":"Moyer","year":"2013","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib207","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1111\/ajr.12290","article-title":"Coordination of diabetic retinopathy screening in the Kimberley region of Western Australia","volume":"25","author":"Moynihan","year":"2017","journal-title":"Aust. J. Rural Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib208","doi-asserted-by":"crossref","first-page":"1086","DOI":"10.1097\/IJG.0000000000000765","article-title":"Hybrid deep learning on single wide-field optical coherence tomography scans accurately classifies glaucoma suspects","volume":"26","author":"Muhammad","year":"2017","journal-title":"J. Glaucoma"},{"key":"10.1016\/j.preteyeres.2020.100900_bib209","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1111\/j.1755-3768.2009.01715.x","article-title":"Stanford university network for diagnosis of retinopathy of prematurity (SUNDROP): 24-month experience with telemedicine screening","volume":"88","author":"Murakami","year":"2010","journal-title":"Acta Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib210","series-title":"Discrimination by Artificial Intelligence in A Commercial Electronic Health Record\u2014A Case Study","author":"Murray","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib211","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1097\/IAE.0000000000000937","article-title":"ULTRA-WIDEFIELD fundus imaging: a review of clinical applications and future trends","volume":"36","author":"Nagiel","year":"2016","journal-title":"Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib212","series-title":"The Transformational Impact of 5G: Proceedings of a Workshop-In Brief","article-title":"The national Academies collection: reports funded by national institutes of health","year":"2019"},{"key":"10.1016\/j.preteyeres.2020.100900_bib213","doi-asserted-by":"crossref","first-page":"2571","DOI":"10.1016\/j.ophtha.2016.08.021","article-title":"Cost-effectiveness of a national telemedicine diabetic retinopathy screening program in Singapore","volume":"123","author":"Nguyen","year":"2016","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib214","series-title":"'Teleophthalmology Activation Guide","author":"NHS Scotland","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib215","doi-asserted-by":"crossref","first-page":"20172","DOI":"10.1038\/s41746-017-0002-4","article-title":"Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials","volume":"1","author":"Noah","year":"2018","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.preteyeres.2020.100900_bib216","series-title":"'5G Bytes: Small Cells Explained","author":"Nordrum","year":"2017"},{"key":"10.1016\/j.preteyeres.2020.100900_bib217","doi-asserted-by":"crossref","first-page":"6770","DOI":"10.1167\/iovs.12-9683","article-title":"Associations between metamorphopsia and foveal microstructure in patients with epiretinal membrane","volume":"53","author":"Okamoto","year":"2012","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib218","doi-asserted-by":"crossref","first-page":"423","DOI":"10.4103\/0301-4738.100540","article-title":"Turning the tide of corneal blindness","volume":"60","author":"Oliva","year":"2012","journal-title":"Indian J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib219","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.jaapos.2017.11.005","article-title":"A national telemedicine network for retinopathy of prematurity screening","volume":"22","author":"Ossandon","year":"2018","journal-title":"J aapos"},{"key":"10.1016\/j.preteyeres.2020.100900_bib220","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1186\/s12939-015-0213-8","article-title":"Eye Care Quality and Accessibility Improvement in the Community (EQUALITY) for adults at risk for glaucoma: study rationale and design","volume":"14","author":"Owsley","year":"2015","journal-title":"Int. J. Equity Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib221","first-page":"1","article-title":"Clinical study on the initial experiences of French vitreoretinal surgeons with heads-up surgery","author":"Palacios","year":"2020","journal-title":"Curr. Eye Res."},{"key":"10.1016\/j.preteyeres.2020.100900_bib222","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/j.1475-1313.2011.00884.x","article-title":"Worldwide prevalence and risk factors for myopia","volume":"32","author":"Pan","year":"2012","journal-title":"Ophthalmic Physiol. Optic."},{"key":"10.1016\/j.preteyeres.2020.100900_bib223","series-title":"'Telemedicine and E-Health Solutions for COVID-19: Patients' Perspective","author":"Pappot","year":"2020"},{"issue":"15","key":"10.1016\/j.preteyeres.2020.100900_bib224","doi-asserted-by":"crossref","first-page":"e28","DOI":"10.1056\/NEJMp2004211","article-title":"Covid-19 - the law and limits of quarantine","volume":"382","author":"Parmet","year":"2020","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib225","doi-asserted-by":"crossref","first-page":"A1","DOI":"10.1016\/j.ajo.2020.02.014","article-title":"Ophthalmologists are more than eye doctors-in memoriam Li Wenliang","volume":"213","author":"Parrish","year":"2020","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib226","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1136\/bjophthalmol-2011-300539","article-title":"Global estimates of visual impairment: 2010","volume":"96","author":"Pascolini","year":"2012","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib227","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1007\/s11606-012-2324-x","article-title":"Variation in electronic health record adoption and readiness for meaningful use: 2008-2011","volume":"28","author":"Patel","year":"2013","journal-title":"J. Gen. Intern. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib228","doi-asserted-by":"crossref","first-page":"2579","DOI":"10.1007\/s00417-019-04470-4","article-title":"Smartphone-based fundus photography for screening of plus-disease retinopathy of prematurity","volume":"257","author":"Patel","year":"2019","journal-title":"Graefes Arch. Clin. Exp. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib229","doi-asserted-by":"crossref","first-page":"1512","DOI":"10.1136\/bjo.2007.119453","article-title":"The efficacy of automated \"disease\/no disease\" grading for diabetic retinopathy in a systematic screening programme","volume":"91","author":"Philip","year":"2007","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib230","first-page":"1","article-title":"The past, present, and future of virtual and augmented reality researcb: a network and cluster analysis of the literature","author":"Pietro","year":"2018","journal-title":"Front. Psychol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib231","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1136\/bjophthalmol-2016-310078","article-title":"Costs of a community-based glaucoma detection programme: analysis of the Philadelphia glaucoma detection and treatment project","volume":"102","author":"Pizzi","year":"2018","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib232","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1038\/s41551-018-0195-0","article-title":"Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning","volume":"2","author":"Poplin","year":"2018","journal-title":"Nat. Biomed. Eng."},{"key":"10.1016\/j.preteyeres.2020.100900_bib233","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1016\/j.ophtha.2011.12.020","article-title":"ORBIS telemedicine users","volume":"119","author":"Prakalapakorn","year":"2012","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib234","series-title":"NHS Diabetic Eye Screening Programme. Summary Statistics: England, 1 April 2015 to 31 March 2016","author":"Public Health England","year":"2016"},{"key":"10.1016\/j.preteyeres.2020.100900_bib235","doi-asserted-by":"crossref","first-page":"e107","DOI":"10.1093\/nar\/gkw226","article-title":"DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences","volume":"44","author":"Quang","year":"2016","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.preteyeres.2020.100900_bib236","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0138285","article-title":"Validation of smartphone based retinal photography for diabetic retinopathy screening","volume":"10","author":"Rajalakshmi","year":"2015","journal-title":"PloS One"},{"key":"10.1016\/j.preteyeres.2020.100900_bib237","doi-asserted-by":"crossref","first-page":"866","DOI":"10.7326\/M18-1990","article-title":"Ensuring fairness in machine learning to advance health equity","volume":"169","author":"Rajkomar","year":"2018","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib238","doi-asserted-by":"crossref","DOI":"10.1117\/1.NPh.6.4.041110","article-title":"Artificial intelligence deep learning algorithm for discriminating ungradable optical coherence tomography three-dimensional volumetric optic disc scans","volume":"6","author":"Ran","year":"2019","journal-title":"Neurophotonics"},{"key":"10.1016\/j.preteyeres.2020.100900_bib239","doi-asserted-by":"crossref","first-page":"396","DOI":"10.4103\/0301-4738.100533","article-title":"Integrated model of primary and secondary eye care for underserved rural areas: the L V Prasad Eye Institute experience","volume":"60","author":"Rao","year":"2012","journal-title":"Indian J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib240","series-title":"5G Networks Will Inherit Their Predecessors' Security Issues","author":"Rashid","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib241","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1016\/j.ophtha.2017.05.026","article-title":"The current state of teleophthalmology in the United States","volume":"124","author":"Rathi","year":"2017","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib242","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/s41746-019-0099-8","article-title":"Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program","volume":"2","author":"Raumviboonsuk","year":"2019","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.preteyeres.2020.100900_bib243","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1136\/bjophthalmol-2018-313156","article-title":"Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity","volume":"103","author":"Redd","year":"2018","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib244","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.ajo.2007.10.004","article-title":"Randomized, double-masked, sham-controlled trial of ranibizumab for neovascular age-related macular degeneration: PIER Study year 1","volume":"145","author":"Regillo","year":"2008","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib245","doi-asserted-by":"crossref","first-page":"2328","DOI":"10.1167\/iovs.05-0019","article-title":"Prevalence of diabetic retinopathy in urban India: the Chennai urban rural epidemiology study (CURES) eye study, I","volume":"46","author":"Rema","year":"2005","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib246","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1097\/IJG.0000000000001238","article-title":"Glaucoma patient knowledge, perceptions, and predispositions for telemedicine","volume":"28","author":"Rhodes","year":"2019","journal-title":"J. Glaucoma"},{"key":"10.1016\/j.preteyeres.2020.100900_bib247","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.ajo.2009.02.002","article-title":"Speed of telemedicine vs ophthalmoscopy for retinopathy of prematurity diagnosis","volume":"148","author":"Richter","year":"2009","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib248","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1258\/jrsm.2011.11k039","article-title":"The rise and fall of England's National Programme for IT","volume":"104","author":"Robertson","year":"2011","journal-title":"J. R. Soc. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib249","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1056\/NEJMoa054481","article-title":"Ranibizumab for neovascular age-related macular degeneration","volume":"355","author":"Rosenfeld","year":"2006","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib250","first-page":"268","article-title":"Screening for retinopathy of prematurity employing the retcam 120: sensitivity and specificity","volume":"119","author":"Roth","year":"2001","journal-title":"Arch. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib251","article-title":"Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program","volume":"2","author":"Ruamviboonsuk","year":"2019","journal-title":"NPJ Digital Medicine"},{"key":"10.1016\/j.preteyeres.2020.100900_bib252","doi-asserted-by":"crossref","first-page":"5985","DOI":"10.1167\/iovs.12-10428","article-title":"The relationship between variability and sensitivity in large-scale longitudinal visual field data","volume":"53","author":"Russell","year":"2012","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib253","doi-asserted-by":"crossref","first-page":"107843","DOI":"10.1016\/j.diabres.2019.107843","article-title":"Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9(th) edition","volume":"157","author":"Saeedi","year":"2019","journal-title":"Diabetes Res. Clin. Pract."},{"key":"10.1016\/j.preteyeres.2020.100900_bib254","doi-asserted-by":"crossref","first-page":"3367","DOI":"10.1016\/j.celrep.2019.11.017","article-title":"A deep learning framework for predicting response to therapy in cancer","volume":"29","author":"Sakellaropoulos","year":"2019","journal-title":"Cell Rep."},{"key":"10.1016\/j.preteyeres.2020.100900_bib255","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.ajo.2020.04.029","article-title":"Virtual ophthalmology: telemedicine in a covid-19 era","volume":"216","author":"Saleem","year":"2020","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib256","first-page":"17","article-title":"The role of teleophthalmology in the management of diabetic retinopathy","volume":"7","author":"Salongcay","year":"2018","journal-title":"Asia. Pac. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib257","doi-asserted-by":"crossref","first-page":"3684","DOI":"10.1167\/iovs.04-1168","article-title":"Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fields","volume":"46","author":"Sample","year":"2005","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib258","series-title":"The Glaucoma Book: a Practical, Evidence-Based Approach to Patient Care","author":"Samples","year":"2010"},{"key":"10.1016\/j.preteyeres.2020.100900_bib259","series-title":"5G VIsion White Paper 1","author":"Samsung","year":"2015"},{"key":"10.1016\/j.preteyeres.2020.100900_bib260","series-title":"Samsung Research","article-title":"6G the next hyper-connected experience for all","author":"Samsung","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib261","first-page":"207","article-title":"Some studies in machine learning using the game of checkers (Reprinted from Journal of Research and Development, vol 3, 1959","volume":"44","author":"Samuel","year":"2000","journal-title":"IBM J. Res. Dev."},{"key":"10.1016\/j.preteyeres.2020.100900_bib262","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1258\/jms.2008.008015","article-title":"The English national screening programme for sight-threatening diabetic retinopathy","volume":"15","author":"Scanlon","year":"2008","journal-title":"J. Med. Screen"},{"key":"10.1016\/j.preteyeres.2020.100900_bib263","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1007\/s00592-017-0974-1","article-title":"The English national screening programme for diabetic retinopathy 2003-2016","volume":"54","author":"Scanlon","year":"2017","journal-title":"Acta Diabetol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib264","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/j.ophtha.2017.10.031","article-title":"Fully automated detection and quantification of macular fluid in OCT using deep learning","volume":"125","author":"Schlegl","year":"2018","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib265","doi-asserted-by":"crossref","first-page":"19","DOI":"10.2174\/1874364101812010019","article-title":"Accuracy of a self-monitoring test for identification and monitoring of age-related macular degeneration: a diagnostic case-control study","volume":"12","author":"Schmid","year":"2018","journal-title":"Open Ophthalmol. J."},{"key":"10.1016\/j.preteyeres.2020.100900_bib266","doi-asserted-by":"crossref","first-page":"1584","DOI":"10.1038\/s41433-019-0455-6","article-title":"Reliability and diagnostic performance of a novel mobile app for hyperacuity self-monitoring in patients with age-related macular degeneration","volume":"33","author":"Schmid","year":"2019","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib267","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","article-title":"Deep learning in neural networks: an overview","volume":"61","author":"Schmidhuber","year":"2015","journal-title":"Neural Network."},{"key":"10.1016\/j.preteyeres.2020.100900_bib268","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.oret.2017.03.015","article-title":"Machine learning to analyze the prognostic value of current imaging biomarkers in neovascular age-related macular degeneration","volume":"2","author":"Schmidt-Erfurth","year":"2018","journal-title":"Ophthalmol. Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib269","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.preteyeres.2018.07.004","article-title":"Artificial intelligence in retina","volume":"67","author":"Schmidt-Erfurth","year":"2018","journal-title":"Prog. Retin. Eye Res."},{"key":"10.1016\/j.preteyeres.2020.100900_bib270","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0161-6420(99)00003-2","article-title":"Telemedical evaluation and management of retinopathy of prematurity using a fiberoptic digital fundus camera","volume":"107","author":"Schwartz","year":"2000","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib271","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1136\/bjo.2008.151126","article-title":"Costs and consequences of automated algorithms versus manual grading for the detection of referable diabetic retinopathy","volume":"94","author":"Scotland","year":"2010","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib272","first-page":"52","article-title":"Telemedicine for ROP","volume":"7","author":"Shah","year":"2018","journal-title":"Asia Pac. J. Ophthalmol. (Phila)"},{"key":"10.1016\/j.preteyeres.2020.100900_bib273","doi-asserted-by":"crossref","first-page":"14665","DOI":"10.1038\/s41598-018-33013-w","article-title":"Development of a deep residual learning algorithm to screen for glaucoma from fundus photography","volume":"8","author":"Shibata","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.preteyeres.2020.100900_bib274","series-title":"'Why 'Exponential Growth' Is So Scary for the COVID-19 Coronavirus","author":"Siegel","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib275","series-title":"'Tackling COVID-19 with Telemedicine","author":"Sim","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib276","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph16183406","article-title":"5G wireless communication and health effects-A pragmatic review based on available studies regarding 6 to 100 GHz","volume":"16","author":"Simko","year":"2019","journal-title":"Int. J. Environ. Res. Publ. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib277","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.cmpb.2015.10.010","article-title":"Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image","volume":"124","author":"Singh","year":"2016","journal-title":"Comput. Methods Progr. Biomed."},{"key":"10.1016\/j.preteyeres.2020.100900_bib278","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1136\/bjo.87.4.502","article-title":"Evaluation of telemedicine for slit lamp examination of the eye following cataract surgery","volume":"87","author":"Smith","year":"2003","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib279","doi-asserted-by":"crossref","first-page":"431","DOI":"10.2471\/BLT.08.055673","article-title":"Potential lost productivity resulting from the global burden of uncorrected refractive error","volume":"87","author":"Smith","year":"2009","journal-title":"Bull. World Health Organ."},{"key":"10.1016\/j.preteyeres.2020.100900_bib280","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.1016\/j.ophtha.2011.02.050","article-title":"Prevalence of glaucoma in a rural northern China adult population: a population-based survey in kailu county, inner Mongolia","volume":"118","author":"Song","year":"2011","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib281","article-title":"Prevalence, risk factors and burden of diabetic retinopathy in China: a systematic review and meta-analysis","volume":"8","author":"Song","year":"2018","journal-title":"J. Glob. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib282","doi-asserted-by":"crossref","first-page":"285","DOI":"10.2147\/OPTH.S80487","article-title":"Teleophthalmology: improving patient outcomes?","volume":"10","author":"Sreelatha","year":"2016","journal-title":"Clin. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib283","article-title":"Virtually controlled computerised visual acuity screening in a multilingual Indian population","volume":"14","author":"Sreelatha","year":"2014","journal-title":"Rural Rem. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib284","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.jtos.2017.05.003","article-title":"TFOS DEWS II epidemiology report","volume":"15","author":"Stapleton","year":"2017","journal-title":"Ocul. Surf."},{"key":"10.1016\/j.preteyeres.2020.100900_bib285","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.ajo.2019.03.021","article-title":"Telemedicine in the management of exudative age-related macular degeneration within an integrated health care system","volume":"208","author":"Starr","year":"2019","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib286","doi-asserted-by":"crossref","first-page":"2377","DOI":"10.1016\/j.ophtha.2013.05.025","article-title":"Global prevalence of vision impairment and blindness: magnitude and temporal trends, 1990-2010","volume":"120","author":"Stevens","year":"2013","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib287","doi-asserted-by":"crossref","first-page":"2551","DOI":"10.1167\/iovs.19-27156","article-title":"Treatment potential for macular cone vision in leber congenital amaurosis due to CEP290 or NPHP5 mutations: predictions from artificial intelligence","volume":"60","author":"Sumaroka","year":"2019","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib288","first-page":"3609","article-title":"Automatic detection of pathological myopia using variational level set","volume":"2009","author":"Tan","year":"2009","journal-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc."},{"key":"10.1016\/j.preteyeres.2020.100900_bib289","article-title":"Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs","volume":"60","author":"Tan","year":"2019","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib290","first-page":"197","article-title":"Artificial intelligence in ophthalmology: accuracy, challenges, and clinical application","volume":"8","author":"Tan","year":"2019","journal-title":"Asia. Pac. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib291","first-page":"611","article-title":"Strategies for improving early detection of glaucoma: the combined structure-function index","volume":"8","author":"Tatham","year":"2014","journal-title":"Clin. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib292","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/bs.pbr.2015.03.001","article-title":"Strategies to improve early diagnosis in glaucoma","volume":"221","author":"Tatham","year":"2015","journal-title":"Prog. Brain Res."},{"key":"10.1016\/j.preteyeres.2020.100900_bib293","doi-asserted-by":"crossref","first-page":"2081","DOI":"10.1016\/j.ophtha.2014.05.013","article-title":"Global prevalence of glaucoma and projections of glaucoma burden through 2040 A systematic review and meta-analysis","volume":"121","author":"Tham","year":"2014","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib294","series-title":"The way forward: emergency eye care","author":"The Royal College of Ophthalmologists","year":"2015"},{"key":"10.1016\/j.preteyeres.2020.100900_bib295","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/S0002-9394(98)00355-9","article-title":"Telemedical evaluation of ocular adnexa and anterior segment","volume":"127","author":"Threlkeld","year":"1999","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib296","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1111\/ceo.12696","article-title":"Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review","volume":"44","author":"Ting","year":"2016","journal-title":"Clin. Exp. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib297","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1016\/j.jcrs.2017.09.001","article-title":"Effect of high-vacuum setting on phacoemulsification efficiency","volume":"43","author":"Ting","year":"2017","journal-title":"J. Cataract Refract. Surg."},{"key":"10.1016\/j.preteyeres.2020.100900_bib298","doi-asserted-by":"crossref","first-page":"2211","DOI":"10.1001\/jama.2017.18152","article-title":"Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes","volume":"318","author":"Ting","year":"2017","journal-title":"J. Am. Med. Assoc."},{"key":"10.1016\/j.preteyeres.2020.100900_bib299","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1136\/bjophthalmol-2019-315025","article-title":"Artificial intelligence-assisted telemedicine platform for cataract screening and management: a potential model of care for global eye health","volume":"103","author":"Ting","year":"2019","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib300","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1038\/s41746-019-0097-x","article-title":"Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study","volume":"2","author":"Ting","year":"2019","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.preteyeres.2020.100900_bib301","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1016\/j.ophtha.2019.09.014","article-title":"An ophthalmologist's guide to deciphering studies in artificial intelligence","volume":"126","author":"Ting","year":"2019","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib302","article-title":"Artificial intelligence for anterior segment diseases: emerging applications in ophthalmology","volume":"Online ahead of print","author":"Ting","year":"2020","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib303","series-title":"\u2019Psychosocial Impact of COVID-19 Pandemic Lockdown on People Living with Eye Diseases in the UK","author":"Ting","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib304","doi-asserted-by":"crossref","DOI":"10.1016\/S2589-7500(19)30217-1","article-title":"Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront","author":"Ting","year":"2020","journal-title":"Lancet Digital Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib305","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1038\/s41591-020-0824-5","article-title":"Digital technology and COVID-19","volume":"26","author":"Ting","year":"2020","journal-title":"Nat. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib306","article-title":"Telemedicine and diabetic retinopathy: review of published screening programs","volume":"2","author":"Tozer","year":"2015","journal-title":"J. Endocrinol. Diabetes"},{"key":"10.1016\/j.preteyeres.2020.100900_bib307","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s00417-017-3850-3","article-title":"Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning","volume":"256","author":"Treder","year":"2018","journal-title":"Graefe\u2019s Arch. Clin. Exp. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib308","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.1097\/IAE.0b013e31816a5587","article-title":"What is the real gold standard for ROP screening?","volume":"28","author":"Trese","year":"2008","journal-title":"Retina"},{"key":"10.1016\/j.preteyeres.2020.100900_bib309","doi-asserted-by":"crossref","first-page":"e353","DOI":"10.1111\/aos.12832","article-title":"The concept of virtual clinics in monitoring patients with age-related macular degeneration","volume":"94","author":"Tsaousis","year":"2016","journal-title":"Acta Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib310","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3310\/hta20920","article-title":"An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness","volume":"20","author":"Tufail","year":"2016","journal-title":"Health Technol. Assess."},{"key":"10.1016\/j.preteyeres.2020.100900_bib311","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.ophtha.2016.11.014","article-title":"Automated diabetic retinopathy image assessment software: diagnostic accuracy and cost-effectiveness compared with human graders","volume":"124","author":"Tufail","year":"2017","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib312","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.survophthal.2018.12.003","article-title":"The persistent dilemma of microbial keratitis: global burden, diagnosis, and antimicrobial resistance","volume":"64","author":"Ung","year":"2019","journal-title":"Surv. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib313","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1089\/tmj.2016.0108","article-title":"Patient Attitudes toward telemedicine for diabetic retinopathy","volume":"23","author":"Valikodath","year":"2017","journal-title":"Telemed. J. e Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib314","first-page":"2749","article-title":"Evaluation of birth weight and gestational age in infants with treatment requiring retinopathy of prematurity in ROPE-SOS trial","volume":"59","author":"Valikodath","year":"2018","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib315","doi-asserted-by":"crossref","first-page":"2861","DOI":"10.1167\/iovs.18-23887","article-title":"Deep learning for predicting refractive error from retinal fundus images","volume":"59","author":"Varadarajan","year":"2018","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib316","doi-asserted-by":"crossref","DOI":"10.1111\/ijn.12571","article-title":"Effectiveness of self-management programmes in diabetes management: a systematic review","volume":"23","author":"Vas","year":"2017","journal-title":"Int. J. Nurs. Pract."},{"key":"10.1016\/j.preteyeres.2020.100900_bib317","series-title":"Early Impact of CMS Expansion of Medicare Telehealth during COVID-19","author":"Verma","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib318","doi-asserted-by":"crossref","first-page":"717","DOI":"10.4103\/ijo.IJO_496_19","article-title":"The changing scenario of retinopathy of prematurity in middle and low income countries: unique solutions for unique problems","volume":"67","author":"Vinekar","year":"2019","journal-title":"Indian J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib319","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.1016\/j.ophtha.2006.06.033","article-title":"Costs of refractive correction of distance vision impairment in the United States, 1999-2002","volume":"113","author":"Vitale","year":"2006","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib320","doi-asserted-by":"crossref","first-page":"1667","DOI":"10.1016\/j.ophtha.2016.04.031","article-title":"The Philadelphia glaucoma detection and treatment project: detection rates and initial management","volume":"123","author":"Waisbourd","year":"2016","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib321","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.jaapos.2007.11.022","article-title":"Agreement among pediatric ophthalmologists in diagnosing plus and pre-plus disease in retinopathy of prematurity","volume":"12","author":"Wallace","year":"2008","journal-title":"J aapos"},{"key":"10.1016\/j.preteyeres.2020.100900_bib322","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.puhe.2020.05.007","article-title":"The end of cordon sanitaire in Wuhan: the role of non-pharmaceutical interventions","volume":"185","author":"Wan","year":"2020","journal-title":"Publ. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib323","doi-asserted-by":"crossref","first-page":"2515","DOI":"10.1001\/jama.2017.7596","article-title":"Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013","volume":"317","author":"Wang","year":"2017","journal-title":"J. Am. Med. Assoc"},{"key":"10.1016\/j.preteyeres.2020.100900_bib324","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1167\/iovs.18-25568","article-title":"An artificial intelligence approach to detect visual field progression in glaucoma based on spatial pattern analysis","volume":"60","author":"Wang","year":"2019","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.preteyeres.2020.100900_bib325","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1016\/S0140-6736(20)30818-7","article-title":"Virtual health care in the era of COVID-19","volume":"395","author":"Webster","year":"2020","journal-title":"Lancet"},{"key":"10.1016\/j.preteyeres.2020.100900_bib326","doi-asserted-by":"crossref","first-page":"1901","DOI":"10.1001\/jama.2014.3192","article-title":"The pathophysiology and treatment of glaucoma: a review","volume":"311","author":"Weinreb","year":"2014","journal-title":"J. Am. Med. Assoc."},{"issue":"7","key":"10.1016\/j.preteyeres.2020.100900_bib327","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1038\/s41433-020-0957-2","article-title":"The impact of COVID policies on acute ophthalmology services-experiences from Moorfields Eye Hospital NHS Foundation Trust","volume":"34","author":"Wickham","year":"2020","journal-title":"Eye"},{"key":"10.1016\/j.preteyeres.2020.100900_bib328","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.ijmedinf.2018.03.012","article-title":"Aging barriers influencing mobile health usability for older adults: a literature based framework (MOLD-US)","volume":"114","author":"Wildenbos","year":"2018","journal-title":"Int. J. Med. Inf."},{"key":"10.1016\/j.preteyeres.2020.100900_bib329","doi-asserted-by":"crossref","first-page":"19711","DOI":"10.1038\/s41598-019-56155-x","article-title":"Non-contact smartphone-based fundus imaging compared to conventional fundus imaging: a low-cost alternative for retinopathy of prematurity screening and documentation","volume":"9","author":"Wintergerst","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.preteyeres.2020.100900_bib330","doi-asserted-by":"crossref","DOI":"10.2196\/14808","article-title":"Validation of an independent web-based tool for measuring visual acuity and refractive error (the manifest versus online refractive evaluation trial): prospective open-label noninferiority clinical trial","volume":"21","author":"Wisse","year":"2019","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.preteyeres.2020.100900_bib331","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1001\/jamaophthalmol.2017.0255","article-title":"Economic evaluation of a home-based age-related macular degeneration monitoring system","volume":"135","author":"Wittenborn","year":"2017","journal-title":"JAMA Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib332","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1097\/APO.0000000000000267","article-title":"The war on diabetic retinopathy: where are we now?","volume":"8","author":"Wong","year":"2019","journal-title":"Asia. Pac. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib333","doi-asserted-by":"crossref","DOI":"10.1136\/bmjgh-2018-000766","article-title":"Saving sight in China and beyond: the lifeline express model","volume":"3","author":"Wong","year":"2018","journal-title":"BMJ Glob. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib334","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1097\/ICO.0000000000001294","article-title":"Teleophthalmic approach for detection of corneal diseases: accuracy and reliability","volume":"36","author":"Woodward","year":"2017","journal-title":"Cornea"},{"key":"10.1016\/j.preteyeres.2020.100900_bib335","series-title":"Programme for the prevention of blindness and deafness: global initiative for the elimination of avoidable blindness","author":"World Health Organisation","year":"2000"},{"key":"10.1016\/j.preteyeres.2020.100900_bib336","series-title":"WHO Guideline: Recommendations on Digital Interventions for Health System Strengthening","author":"World Health Organisation","year":"2019"},{"key":"10.1016\/j.preteyeres.2020.100900_bib337","series-title":"WHO Director-General's Opening Remarks at the Media Briefing on COVID-19 - 11 March 2020","author":"World Health Organization","year":"2020"},{"key":"10.1016\/j.preteyeres.2020.100900_bib338","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1136\/bjophthalmol-2014-305588","article-title":"Service innovation in glaucoma management: using a web-based electronic patient record to facilitate virtual specialist supervision of a shared care glaucoma programme","volume":"99","author":"Wright","year":"2015","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib339","doi-asserted-by":"crossref","first-page":"4889","DOI":"10.1038\/s41598-018-23220-w","article-title":"Impact of different visual field testing paradigms on sample size requirements for glaucoma clinical trials","volume":"8","author":"Wu","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.preteyeres.2020.100900_bib340","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1136\/bjophthalmol-2019-314729","article-title":"Universal artificial intelligence platform for collaborative management of cataracts","volume":"103","author":"Wu","year":"2019","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib341","doi-asserted-by":"crossref","first-page":"964","DOI":"10.1089\/tmj.2016.0266","article-title":"Content design and system implementation of a teleophthalmology system for eye disease diagnosis and treatment and its preliminary practice in Guangdong, China","volume":"23","author":"Xiao","year":"2017","journal-title":"Telemed. J. e Health"},{"issue":"5","key":"10.1016\/j.preteyeres.2020.100900_bib342","doi-asserted-by":"crossref","first-page":"E240","DOI":"10.1016\/S2589-7500(20)30060-1","article-title":"Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national program: a modelled economic analysis study","volume":"2","author":"Xie","year":"2020","journal-title":"Lancet Digit. Health"},{"key":"10.1016\/j.preteyeres.2020.100900_bib343","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1016\/j.ophtha.2011.11.036","article-title":"Beijing eye public health care project","volume":"119","author":"Xu","year":"2012","journal-title":"Ophthalmology"},{"key":"10.1016\/j.preteyeres.2020.100900_bib344","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.jcjo.2017.08.006","article-title":"Metamorphopsia and vision-related quality of life among patients with age-related macular degeneration","volume":"53","author":"Xu","year":"2018","journal-title":"Can. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib345","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.jaapos.2015.01.011","article-title":"A new computer-based pediatric vision-screening test","volume":"19","author":"Yamada","year":"2015","journal-title":"J.f Aapos"},{"key":"10.1016\/j.preteyeres.2020.100900_bib346","doi-asserted-by":"crossref","first-page":"1090","DOI":"10.1056\/NEJMoa0908292","article-title":"prevalence of diabetes among men and women in China","volume":"362","author":"Yang","year":"2010","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.preteyeres.2020.100900_bib347","doi-asserted-by":"crossref","first-page":"556","DOI":"10.2337\/dc11-1909","article-title":"Global prevalence and major risk factors of diabetic retinopathy","volume":"35","author":"Yau","year":"2012","journal-title":"Diabetes Care"},{"key":"10.1016\/j.preteyeres.2020.100900_bib348","first-page":"145","article-title":"The optimum time to employ telephotoscreening to detect retinopathy of prematurity","volume":"98","author":"Yen","year":"2000","journal-title":"Trans. Am. Ophthalmol. Soc."},{"key":"10.1016\/j.preteyeres.2020.100900_bib349","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.jbi.2015.09.019","article-title":"Detecting glaucomatous change in visual fields: analysis with an optimization framework","volume":"58","author":"Yousefi","year":"2015","journal-title":"J. Biomed. Inf."},{"key":"10.1016\/j.preteyeres.2020.100900_bib350","doi-asserted-by":"crossref","DOI":"10.1167\/tvst.5.3.2","article-title":"Unsupervised Gaussian mixture-model with expectation maximization for detecting glaucomatous progression in standard automated perimetry visual fields","volume":"5","author":"Yousefi","year":"2016","journal-title":"Transl. Vis. Sci. Technol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib351","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.ajo.2018.06.007","article-title":"Detection of longitudinal visual field progression in glaucoma using machine learning","volume":"193","author":"Yousefi","year":"2018","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib352","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s00417-001-0396-0","article-title":"Perioperative cataract OP management by means of teleconsultation","volume":"240","author":"Zahlmann","year":"2002","journal-title":"Graefes Arch. Clin. Exp. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib353","article-title":"Automatic diagnosis of pathological myopia from heterogeneous biomedical data","volume":"8","author":"Zhang","year":"2013","journal-title":"PloS One"},{"key":"10.1016\/j.preteyeres.2020.100900_bib354","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.ajo.2017.05.017","article-title":"Optimizing glaucoma screening in high-risk population: design and 1-year findings of the screening to prevent (SToP) glaucoma study","volume":"180","author":"Zhao","year":"2017","journal-title":"Am. J. Ophthalmol."},{"key":"10.1016\/j.preteyeres.2020.100900_bib355","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1007\/s00417-019-04543-4","article-title":"Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model","volume":"258","author":"Zheng","year":"2020","journal-title":"Graefes Arch. Clin. Exp. Ophthalmol."}],"container-title":["Progress in Retinal and Eye Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350946220300720?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350946220300720?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T22:39:07Z","timestamp":1761172747000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1350946220300720"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":354,"alternative-id":["S1350946220300720"],"URL":"https:\/\/doi.org\/10.1016\/j.preteyeres.2020.100900","relation":{},"ISSN":["1350-9462"],"issn-type":[{"value":"1350-9462","type":"print"}],"subject":[],"published":{"date-parts":[[2021,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective","name":"articletitle","label":"Article Title"},{"value":"Progress in Retinal and Eye Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.preteyeres.2020.100900","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"100900"}}