{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T02:41:04Z","timestamp":1789180864197,"version":"build-2803163510"},"reference-count":70,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T00:00:00Z","timestamp":1639612800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T00:00:00Z","timestamp":1639612800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ophthalmologe"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s00347-021-01536-9","type":"journal-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T09:02:27Z","timestamp":1639645347000},"page":"112-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Smartphone-basierte Fundusfotografie: Anwendungen und Adapter","Smartphone-based fundus imaging: applications and adapters"],"prefix":"10.1007","volume":"119","author":[{"given":"Linus G.","family":"Jansen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Schultz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank G.","family":"Holz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert P.","family":"Finger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilian W. M.","family":"Wintergerst","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,12,16]]},"reference":[{"key":"1536_CR1","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1038\/s41746-018-0040-6","volume":"1","author":"MD Abr\u00e0moff","year":"2018","unstructured":"Abr\u00e0moff\u00a0MD, Lavin\u00a0PT, Birch\u00a0M et al (2018) Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med 1:39","journal-title":"NPJ Digit Med"},{"key":"1536_CR2","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.ophtha.2011.11.014","volume":"119","author":"A Bastawrous","year":"2012","unstructured":"Bastawrous\u00a0A (2012) Smartphone fundoscopy. Ophthalmology 119:432\u2013433.e2","journal-title":"Ophthalmology"},{"key":"1536_CR3","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1001\/jamaophthalmol.2015.4625","volume":"134","author":"A Bastawrous","year":"2016","unstructured":"Bastawrous\u00a0A, Giardini\u00a0ME, Bolster\u00a0NM et al (2016) Clinical validation of a\u00a0smartphone-based adapter for optic disc imaging in Kenya. JAMA Ophthalmol 134:151\u2013158","journal-title":"JAMA Ophthalmol"},{"key":"1536_CR4","first-page":"61","volume":"9","author":"Y Bilong","year":"2020","unstructured":"Bilong\u00a0Y, Domngang\u00a0CN, Nwanlih Gimma\u00a0G et al (2020) Smartphone-assisted glaucoma screening in patients with type 2 diabetes: a\u00a0pilot study. Med Hypothesis Discov Innov Ophthalmol 9:61\u201365","journal-title":"Med Hypothesis Discov Innov Ophthalmol"},{"key":"1536_CR5","doi-asserted-by":"crossref","first-page":"S18","DOI":"10.3928\/23258160-20190108-05","volume":"50","author":"Y Bilong","year":"2019","unstructured":"Bilong\u00a0Y, Katte\u00a0JC, Koki\u00a0G et al (2019) Validation of smartphone-based retinal photography for diabetic retinopathy screening. Ophthalmic Surg Lasers Imaging Retina 50:S18\u2013s22","journal-title":"Ophthalmic Surg. Lasers Imaging Retina"},{"key":"1536_CR6","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1586\/17469899.2014.981532","volume":"9","author":"NM Bolster","year":"2014","unstructured":"Bolster\u00a0NM, Giardini\u00a0ME, Livingstone\u00a0IA et al (2014) How the smartphone is driving the eye-health imaging revolution. Expert Rev Ophthalmol 9:475\u2013485","journal-title":"Expert Rev Ophthalmol"},{"key":"1536_CR7","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1001\/jamaophthalmol.2018.1934","volume":"136","author":"JM Brown","year":"2018","unstructured":"Brown\u00a0JM, Campbell\u00a0JP, Beers\u00a0A et\u00a0al (2018) Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmol 136:803\u2013810","journal-title":"JAMA Ophthalmol"},{"key":"1536_CR8","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/S0140-6736(09)62124-3","volume":"376","author":"N Cheung","year":"2010","unstructured":"Cheung\u00a0N, Mitchell\u00a0P, Wong\u00a0TY (2010) Diabetic retinopathy. Lancet 376:124\u2013136","journal-title":"Lancet"},{"key":"1536_CR9","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1097\/01.APO.0000617936.16124.ba","volume":"9","author":"S Collon","year":"2020","unstructured":"Collon\u00a0S, Chang\u00a0D, Tabin\u00a0G et al (2020) Utility and feasibility of teleophthalmology using a\u00a0smartphone-based ophthalmic camera in screening camps in Nepal. Asia Pac J Ophthalmol (Phila) 9:54\u201358","journal-title":"Asia Pac J Ophthalmol (Phila)"},{"key":"1536_CR10","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1111\/acem.13128","volume":"24","author":"LM Day","year":"2017","unstructured":"Day\u00a0LM, Wang\u00a0SX, Huang\u00a0CJ (2017) Nonmydriatic fundoscopic imaging using the pan optic iexaminer system in the pediatric emergency department. Acad Emerg Med 24:587\u2013594","journal-title":"Acad Emerg Med"},{"key":"1536_CR11","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.earlhumdev.2007.11.009","volume":"84","author":"C Gilbert","year":"2008","unstructured":"Gilbert\u00a0C (2008) Retinopathy of prematurity: a\u00a0global perspective of the epidemics, population of babies at risk and implications for control. Early Hum Dev 84:77\u201382","journal-title":"Early Hum Dev"},{"key":"1536_CR12","doi-asserted-by":"crossref","first-page":"e518","DOI":"10.1542\/peds.2004-1180","volume":"115","author":"C Gilbert","year":"2005","unstructured":"Gilbert\u00a0C, Fielder\u00a0A, Gordillo\u00a0L et\u00a0al (2005) Characteristics of infants with severe retinopathy of prematurity in countries with low, moderate, and high levels of development: implications for screening programs. Pediatrics 115:e518\u2013e525","journal-title":"Pediatrics"},{"key":"1536_CR13","doi-asserted-by":"crossref","first-page":"840","DOI":"10.4103\/ijo.IJO_1177_18","volume":"67","author":"A Goyal","year":"2019","unstructured":"Goyal\u00a0A, Gopalakrishnan\u00a0M, Anantharaman\u00a0G et al (2019) Smartphone guided wide-field imaging for retinopathy of prematurity in neonatal intensive care unit\u2014a\u00a0smart ROP (SROP) initiative. Indian J Ophthalmol 67:840\u2013845","journal-title":"Indian J Ophthalmol"},{"key":"1536_CR14","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/518479","author":"LJ Haddock","year":"2013","unstructured":"Haddock\u00a0LJ, Kim\u00a0DY, Mukai\u00a0S (2013) Simple, inexpensive technique for high-quality smartphone fundus photography in human and animal eyes. J\u00a0Ophthalmol. https:\/\/doi.org\/10.1155\/2013\/518479","journal-title":"J Ophthalmol"},{"issue":"2","key":"1536_CR15","doi-asserted-by":"crossref","first-page":"e327","DOI":"10.1111\/aos.13934","volume":"97","author":"AA Hakimi","year":"2019","unstructured":"Hakimi\u00a0AA, Lalehzarian\u00a0SP, Lalehzarian\u00a0AS et al (2019) The utility of a smartphone-enabled ophthalmoscope in pre-clinical fundoscopy training. Acta Ophthalmol 97(2):e327\u2013e328","journal-title":"Acta Ophthalmol"},{"key":"1536_CR16","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.survophthal.2016.12.004","volume":"62","author":"ME Hartnett","year":"2017","unstructured":"Hartnett\u00a0ME (2017) Advances in understanding and management of retinopathy of prematurity. Surv Ophthalmol 62:257\u2013276","journal-title":"Surv Ophthalmol"},{"key":"1536_CR17","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1016\/S0140-6736(13)60178-6","volume":"382","author":"A Hellstr\u00f6m","year":"2013","unstructured":"Hellstr\u00f6m\u00a0A, Smith\u00a0LEH, Dammann\u00a0O (2013) Retinopathy of prematurity. Lancet 382:1445\u20131457","journal-title":"Lancet"},{"key":"1536_CR18","volume-title":"The diabetic retinopathy barometer report: global findings","author":"International Diabetes Federation","year":"2017","unstructured":"International Diabetes Federation (2017) The diabetic retinopathy barometer report: global findings"},{"issue":"1","key":"1536_CR19","doi-asserted-by":"publisher","first-page":"12691","DOI":"10.1038\/s41598-021-92232-w","volume":"11","author":"LG Jansen","year":"2021","unstructured":"Jansen\u00a0LG, Shah\u00a0P, Wabbels\u00a0B, Holz\u00a0FG, Finger\u00a0RP, Wintergerst\u00a0MWM (2021) Learning curve evaluation upskilling retinal imaging using smartphones. Sci Rep 11(1):12691. https:\/\/doi.org\/10.1038\/s41598-021-92232-w","journal-title":"Sci Rep"},{"key":"1536_CR20","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.preteyeres.2013.10.002","volume":"38","author":"Y Kanagasingam","year":"2014","unstructured":"Kanagasingam\u00a0Y, Bhuiyan\u00a0A, Abr\u00e0moff\u00a0MD et\u00a0al (2014) Progress on retinal image analysis for age related macular degeneration. Prog Retin Eye Res 38:20\u201342","journal-title":"Prog Retin Eye Res"},{"key":"1536_CR21","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1186\/s12859-020-03587-2","volume":"21","author":"M Karakaya","year":"2020","unstructured":"Karakaya\u00a0M, Hacisoftaoglu\u00a0RE (2020) Comparison of smartphone-based retinal imaging systems for diabetic retinopathy detection using deep learning. BMC Bioinformatics 21:259","journal-title":"BMC Bioinformatics"},{"key":"1536_CR22","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1167\/tvst.7.5.21","volume":"7","author":"TN Kim","year":"2018","unstructured":"Kim\u00a0TN, Myers\u00a0F, Reber\u00a0C et al (2018) A smartphone-based tool for rapid, portable, and automated wide-field retinal imaging. Transl Vis Sci Technol 7:21","journal-title":"Transl Vis Sci Technol"},{"key":"1536_CR23","doi-asserted-by":"crossref","first-page":"391","DOI":"10.2147\/OPTH.S190922","volume":"13","author":"Y Kim","year":"2019","unstructured":"Kim\u00a0Y, Chao\u00a0DL (2019) Comparison of smartphone ophthalmoscopy vs conventional direct ophthalmoscopy as a\u00a0teaching tool for medical students: the COSMOS study. Clin Ophthalmol 13:391\u2013401","journal-title":"Clin Ophthalmol"},{"key":"1536_CR24","doi-asserted-by":"publisher","DOI":"10.1177\/1120672120972027","author":"B Krieger","year":"2020","unstructured":"Krieger\u00a0B, Hallik\u00a0R, Kala\u00a0K et al (2020) Validation of mobile-based funduscope for diabetic retinopathy screening in Estonia. Eur J Ophthalmol. https:\/\/doi.org\/10.1177\/1120672120972027","journal-title":"Eur J Ophthalmol"},{"key":"1536_CR25","doi-asserted-by":"crossref","first-page":"834","DOI":"10.4103\/ijo.IJO_268_19","volume":"67","author":"T Lekha","year":"2019","unstructured":"Lekha\u00a0T, Ramesh\u00a0S, Sharma\u00a0A et\u00a0al (2019) MII RetCam assisted smartphone based fundus imaging for retinopathy of prematurity. Indian J Ophthalmol 67:834\u2013839","journal-title":"Indian J Ophthalmol"},{"key":"1536_CR26","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/S0002-9394(02)01522-2","volume":"134","author":"DY Lin","year":"2002","unstructured":"Lin\u00a0DY, Blumenkranz\u00a0MS, Brothers\u00a0RJ et al (2002) The sensitivity and specificity of single-field nonmydriatic monochromatic digital fundus photography with remote image interpretation for diabetic retinopathy screening: a\u00a0comparison with ophthalmoscopy and standardized mydriatic color photography. Am J Ophthalmol 134:204\u2013213","journal-title":"Am J Ophthalmol"},{"key":"1536_CR27","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.tjo.2014.04.001","volume":"4","author":"S-J Lin","year":"2014","unstructured":"Lin\u00a0S\u2011J, Yang\u00a0C\u2011M, Yeh\u00a0P\u2011T et al (2014) Smartphone fundoscopy for retinopathy of prematurity. Taiwan J Ophthalmol 4:82\u201385","journal-title":"Taiwan J Ophthalmol"},{"key":"1536_CR28","doi-asserted-by":"crossref","first-page":"e30","DOI":"10.2196\/mhealth.4746","volume":"4","author":"V Lodhia","year":"2016","unstructured":"Lodhia\u00a0V, Karanja\u00a0S, Lees\u00a0S et\u00a0al (2016) Acceptability, usability, and views on deployment of peek, a\u00a0mobile phone mhealth intervention for eye care in Kenya: qualitative study. JMIR mHealth uHealth 4:e30","journal-title":"JMIR mHealth uHealth"},{"key":"1536_CR29","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1016\/j.ophtha.2010.01.001","volume":"117","author":"RK Lord","year":"2010","unstructured":"Lord\u00a0RK, Shah\u00a0VA, Filippo\u00a0ANS et\u00a0al (2010) Novel uses of smartphones in ophthalmology. Ophthalmology 117:1274\u2013U1303","journal-title":"Ophthalmology"},{"key":"1536_CR30","doi-asserted-by":"crossref","first-page":"191","DOI":"10.4103\/0301-4738.181742","volume":"64","author":"CA Ludwig","year":"2016","unstructured":"Ludwig\u00a0CA, Murthy\u00a0SI, Pappuru\u00a0RR et\u00a0al (2016) A novel smartphone ophthalmic imaging adapter: user feasibility studies in Hyderabad, India. Indian J Ophthalmol 64:191\u2013200","journal-title":"Indian J Ophthalmol"},{"key":"1536_CR31","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1167\/tvst.9.2.60","volume":"9","author":"CA Ludwig","year":"2020","unstructured":"Ludwig\u00a0CA, Perera\u00a0C, Myung\u00a0D et al (2020) Automatic identification of referral-warranted diabetic retinopathy using deep learning on mobile phone images. Transl Vis Sci Technol 9:60","journal-title":"Transl Vis Sci Technol"},{"key":"1536_CR32","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1136\/bjophthalmol-2013-303797","volume":"98","author":"RN Maamari","year":"2014","unstructured":"Maamari\u00a0RN, Keenan\u00a0JD, Fletcher\u00a0DA et al (2014) A mobile phone-based retinal camera for portable wide field imaging. Br J Ophthalmol 98:438\u2013441","journal-title":"Br J Ophthalmol"},{"issue":"11","key":"1536_CR33","doi-asserted-by":"publisher","first-page":"1766","DOI":"10.1038\/s41433-018-0177-1","volume":"32","author":"S Mamtora","year":"2018","unstructured":"Mamtora\u00a0S, Sandinha\u00a0MT, Ajith\u00a0A et\u00a0al (2018) Smart phone ophthalmoscopy: a potential replacement for the direct ophthalmoscope. Eye (Lond) 32(11):1766\u20131771. https:\/\/doi.org\/10.1038\/s41433-018-0177-1","journal-title":"Eye (Lond)"},{"key":"1536_CR34","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1177\/1932296816629158","volume":"10","author":"JM Micheletti","year":"2016","unstructured":"Micheletti\u00a0JM, Hendrick\u00a0AM, Khan\u00a0FN et\u00a0al (2016) Current and next generation portable screening devices for diabetic retinopathy. J\u00a0Diabetes Sci Technol 10:295\u2013300","journal-title":"J Diabetes Sci Technol"},{"key":"1536_CR35","doi-asserted-by":"crossref","first-page":"5373","DOI":"10.1167\/iovs.07-1501","volume":"49","author":"G Mowatt","year":"2008","unstructured":"Mowatt\u00a0G, Burr\u00a0JM, Cook\u00a0JA et al (2008) Screening tests for detecting open-angle glaucoma: systematic review and meta-analysis. Invest Ophthalmol Vis Sci 49:5373\u20135385","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"1536_CR36","series-title":"MICCAI workshop on ophthalmic medical image analysis","first-page":"83","volume-title":"Automated detection of diabetic retinopathy from smartphone fundus videos","author":"S Mueller","year":"2020","unstructured":"Mueller\u00a0S, Karpova\u00a0S, Wintergerst\u00a0M et\u00a0al (2020) Automated detection of diabetic retinopathy from smartphone fundus videos. MICCAI workshop on ophthalmic medical image analysis, S\u00a083\u201392"},{"key":"1536_CR37","doi-asserted-by":"crossref","first-page":"1660","DOI":"10.1097\/HJH.0000000000001354","volume":"35","author":"ML Muiesan","year":"2017","unstructured":"Muiesan\u00a0ML, Salvetti\u00a0M, Paini\u00a0A et\u00a0al (2017) Ocular fundus photography with a\u00a0smartphone device in acute hypertension. J\u00a0Hypertens 35:1660\u20131665","journal-title":"J Hypertens"},{"issue":"10","key":"1536_CR38","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1001\/jamaophthalmol.2019.2923","volume":"137","author":"S Natarajan","year":"2019","unstructured":"Natarajan\u00a0S, Jain\u00a0A, Krishnan\u00a0R et al (2019) Diagnostic accuracy of community-based diabetic retinopathy screening with an offline artificial intelligence system on a smartphone. JAMA Ophthalmol 137(10):1182\u20131188. https:\/\/doi.org\/10.1001\/jamaophthalmol.2019.2923","journal-title":"JAMA Ophthalmol"},{"key":"1536_CR39","doi-asserted-by":"crossref","first-page":"92","DOI":"10.5301\/ejo.5000666","volume":"26","author":"TS Oluleye","year":"2016","unstructured":"Oluleye\u00a0TS, Rotimi-Samuel\u00a0A, Adenekan\u00a0A (2016) Mobile phones for retinopathy of prematurity screening in Lagos, Nigeria, sub-Saharan Africa. Eur J Ophthalmol 26:92\u201394","journal-title":"Eur J Ophthalmol"},{"issue":"11","key":"1536_CR40","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1007\/s00417-019-04470-4","volume":"257","author":"TP Patel","year":"2019","unstructured":"Patel\u00a0TP, Aaberg\u00a0MT, Paulus\u00a0YM et al (2019) Smartphone-based fundus photography for screening of plus-disease retinopathy of prematurity. Graefes Arch Clin Exp Ophthalmol 257(11):2579\u20132585. https:\/\/doi.org\/10.1007\/s00417-019-04470-4","journal-title":"Graefes Arch Clin Exp Ophthalmol"},{"key":"1536_CR41","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1167\/tvst.8.3.29","volume":"8","author":"TP Patel","year":"2019","unstructured":"Patel\u00a0TP, Kim\u00a0TN, Yu\u00a0G et al (2019) Smartphone-based, rapid, wide-field fundus photography for diagnosis of pediatric retinal diseases. Transl Vis Sci Technol 8:29","journal-title":"Transl Vis Sci Technol"},{"key":"1536_CR42","doi-asserted-by":"crossref","first-page":"S42","DOI":"10.4103\/ijo.IJO_1937_19","volume":"68","author":"V Prathiba","year":"2020","unstructured":"Prathiba\u00a0V, Rajalakshmi\u00a0R, Arulmalar\u00a0S et al (2020) Accuracy of the smartphone-based nonmydriatic retinal camera in the detection of sight-threatening diabetic retinopathy. Indian J Ophthalmol 68:S42\u2013S46","journal-title":"Indian J Ophthalmol"},{"key":"1536_CR43","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1016\/j.ophtha.2012.09.002","volume":"120","author":"S Rachapelle","year":"2013","unstructured":"Rachapelle\u00a0S, Legood\u00a0R, Alavi\u00a0Y et al (2013) The cost-utility of telemedicine to screen for diabetic retinopathy in India. Ophthalmology 120:566\u2013573","journal-title":"Ophthalmology"},{"issue":"9","key":"1536_CR44","doi-asserted-by":"crossref","first-page":"e0138285","DOI":"10.1371\/journal.pone.0138285","volume":"10","author":"R Rajalakshmi","year":"2015","unstructured":"Rajalakshmi\u00a0R, Arulmalar\u00a0S, Usha\u00a0M et\u00a0al (2015) Validation of smartphone based retinal photography for diabetic retinopathy screening. PLoS ONE 10(9):e138285","journal-title":"PLoS ONE"},{"issue":"6","key":"1536_CR45","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1038\/s41433-018-0064-9","volume":"32","author":"R Rajalakshmi","year":"2018","unstructured":"Rajalakshmi\u00a0R, Subashini\u00a0R, Anjana\u00a0RM et al (2018) Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence. Eye (Lond) 32(6):1138\u20131144. https:\/\/doi.org\/10.1038\/s41433-018-0064-9","journal-title":"Eye (Lond)"},{"key":"1536_CR46","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.4103\/ijo.IJO_1080_19","volume":"67","author":"B Raju","year":"2019","unstructured":"Raju\u00a0B, Raju\u00a0NSD, Akkara\u00a0JD et al (2019) Smartphone-based fundus documentation in retinopathy of prematurity. Indian J Ophthalmol 67:1909","journal-title":"Indian J Ophthalmol"},{"key":"1536_CR47","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2018-313156","author":"TK Redd","year":"2018","unstructured":"Redd\u00a0TK, Campbell\u00a0JP, Brown\u00a0JM et\u00a0al (2018) Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. Br J Ophthalmol. https:\/\/doi.org\/10.1136\/bjophthalmol-2018-313156","journal-title":"Br J Ophthalmol"},{"key":"1536_CR48","doi-asserted-by":"crossref","first-page":"e777","DOI":"10.1097\/IJG.0000000000000499","volume":"25","author":"A Russo","year":"2016","unstructured":"Russo\u00a0A, Mapham\u00a0W, Turano\u00a0R et al (2016) Comparison of smartphone ophthalmoscopy with slit-lamp biomicroscopy for grading vertical cup-to-disc ratio. J\u00a0Glaucoma 25:e777\u2013781","journal-title":"J Glaucoma"},{"key":"1536_CR49","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.ajo.2014.11.008","volume":"159","author":"A Russo","year":"2015","unstructured":"Russo\u00a0A, Morescalch\u00a0F, Costagliola\u00a0C et al (2015) Comparison of smartphone ophthalmoscopy with slit-lamp biomicroscopy for grading diabetic retinopathy. Am J Ophthalmol 159:360\u2013364","journal-title":"Am J Ophthalmol"},{"key":"1536_CR50","doi-asserted-by":"crossref","first-page":"823139","DOI":"10.1155\/2015\/823139","volume":"2015","author":"A Russo","year":"2015","unstructured":"Russo\u00a0A, Morescalchi\u00a0F, Costagliola\u00a0C et\u00a0al (2015) A novel device to exploit the smartphone camera for fundus photography. J\u00a0Ophthalmol 2015:823139\u2013823139","journal-title":"J Ophthalmol"},{"key":"1536_CR51","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1111\/dme.12119","volume":"30","author":"LM Ruta","year":"2013","unstructured":"Ruta\u00a0LM, Magliano\u00a0DJ, Lemesurier\u00a0R et\u00a0al (2013) Prevalence of diabetic retinopathy in type 2 diabetes in developing and developed countries. Diabet Med 30:387\u2013398","journal-title":"Diabet Med"},{"key":"1536_CR52","doi-asserted-by":"crossref","first-page":"2038","DOI":"10.1016\/j.ophtha.2015.06.011","volume":"122","author":"ME Ryan","year":"2015","unstructured":"Ryan\u00a0ME, Rajalakshmi\u00a0R, Prathiba\u00a0V et\u00a0al (2015) Comparison among methods of retinopathy assessment (CAMRA) study smartphone, nonmydriatic, and mydriatic photography. Ophthalmology 122:2038\u20132043","journal-title":"Ophthalmology"},{"key":"1536_CR53","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.oret.2018.09.016","volume":"3","author":"S Sengupta","year":"2019","unstructured":"Sengupta\u00a0S, Sindal\u00a0MD, Baskaran\u00a0P et al (2019) Sensitivity and specificity of smartphone-based retinal imaging for diabetic retinopathy: a comparative study. Ophthalmol Retina 3:146\u2013153","journal-title":"Ophthalmol Retina"},{"key":"1536_CR54","doi-asserted-by":"crossref","first-page":"960","DOI":"10.4103\/0301-4738.143949","volume":"62","author":"MP Shanmugam","year":"2014","unstructured":"Shanmugam\u00a0MP, Mishra\u00a0DKC, Madhukumar\u00a0R et\u00a0al (2014) Fundus imaging with a\u00a0mobile phone: a review of techniques. Indian J Ophthalmol 62:960\u2013962","journal-title":"Indian J Ophthalmol"},{"key":"1536_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.oret.2019.06.006","author":"A Sharma","year":"2019","unstructured":"Sharma\u00a0A, Goyal\u00a0A, Bilong\u00a0Y et al (2019) Comparison of a smartphone-based photography method with indirect ophthalmoscopic assessment in referable retinopathy of prematurity: a smart retinopathy of prematurity model pilot study. Ophthalmology. https:\/\/doi.org\/10.1016\/j.oret.2019.06.006","journal-title":"Ophthalmology"},{"key":"1536_CR56","doi-asserted-by":"crossref","first-page":"142","DOI":"10.5301\/ejo.5000663","volume":"26","author":"A Sharma","year":"2016","unstructured":"Sharma\u00a0A, Subramaniam\u00a0SD, Ramachandran\u00a0KI et al (2016) Smartphone-based fundus camera device (MII Ret Cam) and technique with ability to image peripheral retina. Eur J Ophthalmol 26:142\u2013144","journal-title":"Eur J Ophthalmol"},{"key":"1536_CR57","doi-asserted-by":"crossref","first-page":"391","DOI":"10.4103\/ijo.IJO_1203_19","volume":"68","author":"B Sosale","year":"2020","unstructured":"Sosale\u00a0B, Sosale\u00a0AR, Murthy\u00a0H et al (2020) Medios\u2014an offline, smartphone-based artificial intelligence algorithm for the diagnosis of diabetic retinopathy. Indian J Ophthalmol 68:391\u2013395","journal-title":"Indian J Ophthalmol"},{"key":"1536_CR58","doi-asserted-by":"crossref","first-page":"2688","DOI":"10.1364\/OL.41.002688","volume":"41","author":"D Toslak","year":"2016","unstructured":"Toslak\u00a0D, Thapa\u00a0D, Chen\u00a0Y et al (2016) Trans-palpebral illumination: an approach for wide-angle fundus photography without the need for pupil dilation. Opt Lett 41:2688\u20132691","journal-title":"Opt Lett"},{"key":"1536_CR59","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1097\/IAE.0000000000000955","volume":"36","author":"BC Toy","year":"2016","unstructured":"Toy\u00a0BC, Myung\u00a0DJ, He\u00a0L et al (2016) Smartphone-based dilated fundus photography and near visual acuity testing as inexpensive screening tools to detect referral warranted diabetic eye disease. Retina 36:1000\u20131008","journal-title":"Retina"},{"key":"1536_CR60","unstructured":"United Nations (2012) Born too soon. The global action report on preterm birth."},{"key":"1536_CR61","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1016\/j.ajo.2011.06.004","volume":"152","author":"R Varma","year":"2011","unstructured":"Varma\u00a0R, Lee\u00a0PP, Goldberg\u00a0I et\u00a0al (2011) An assessment of the health and economic burdens of glaucoma. Am J Ophthalmol 152:515\u2013522","journal-title":"Am J Ophthalmol"},{"key":"1536_CR62","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1016\/j.ophtha.2004.02.004","volume":"111","author":"GA Williams","year":"2004","unstructured":"Williams\u00a0GA, Scott\u00a0IU, Haller\u00a0JA et al (2004) Single-field fundus photography for diabetic retinopathy screening: a\u00a0report by the American academy of ophthalmology. Ophthalmology 111:1055\u20131062","journal-title":"Ophthalmology"},{"key":"1536_CR63","doi-asserted-by":"crossref","first-page":"10228","DOI":"10.1038\/s41598-018-28585-6","volume":"8","author":"MWM Wintergerst","year":"2018","unstructured":"Wintergerst\u00a0MWM, Brinkmann\u00a0CK, Holz\u00a0FG et al (2018) Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation. Sci Rep 8:10228","journal-title":"Sci Rep"},{"key":"1536_CR64","doi-asserted-by":"crossref","first-page":"19711","DOI":"10.1038\/s41598-019-56155-x","volume":"9","author":"MWM Wintergerst","year":"2019","unstructured":"Wintergerst\u00a0MWM, Petrak\u00a0M, Li\u00a0JQ et al (2019) Non-contact smartphone-based fundus imaging compared to conventional fundus imaging: a\u00a0low-cost alternative for retinopathy of prematurity screening and documentation. Sci Rep 9:19711","journal-title":"Sci Rep"},{"key":"1536_CR65","doi-asserted-by":"crossref","first-page":"e17480","DOI":"10.2196\/17480","volume":"8","author":"MWM Wintergerst","year":"2020","unstructured":"Wintergerst\u00a0MWM, Jansen\u00a0LG, Holz\u00a0FG et al (2020) A novel device for smartphone-based fundus imaging and documentation in clinical practice: comparative image analysis study. JMIR Mhealth Uhealth 8:e17480","journal-title":"JMIR Mhealth Uhealth"},{"key":"1536_CR66","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1097\/APO.0000000000000303","volume":"9","author":"MWM Wintergerst","year":"2020","unstructured":"Wintergerst\u00a0MWM, Jansen\u00a0LG, Holz\u00a0FG et al (2020) Smartphone-based fundus imaging-where are we now? Asia Pac J Ophthalmol (Phila) 9:308\u2013314","journal-title":"Asia Pac J Ophthalmol (Phila)"},{"key":"1536_CR67","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1016\/j.ophtha.2020.05.025","volume":"127","author":"MWM Wintergerst","year":"2020","unstructured":"Wintergerst\u00a0MWM, Mishra\u00a0DK, Hartmann\u00a0L et al (2020) Diabetic retinopathy screening using smartphone-based fundus imaging in India. Ophthalmology 127:1529\u20131538","journal-title":"Ophthalmology"},{"key":"1536_CR68","volume-title":"Global report on diabetes","author":"World Health Organization","year":"2016","unstructured":"World Health Organization (2016) Global report on diabetes"},{"key":"1536_CR69","doi-asserted-by":"publisher","DOI":"10.1038\/srep34603","author":"X Xu","year":"2016","unstructured":"Xu\u00a0X, Ding\u00a0W, Wang\u00a0X et al (2016) Smartphone-based accurate analysis of retinal vasculature towards point-of-care diagnostics. Sci Rep. https:\/\/doi.org\/10.1038\/srep34603","journal-title":"Sci Rep"},{"key":"1536_CR70","doi-asserted-by":"crossref","first-page":"556","DOI":"10.2337\/dc11-1909","volume":"35","author":"JW Yau","year":"2012","unstructured":"Yau\u00a0JW, Rogers\u00a0SL, Kawasaki\u00a0R et\u00a0al (2012) Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care 35:556\u2013564","journal-title":"Diabetes Care"}],"container-title":["Der Ophthalmologe"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00347-021-01536-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00347-021-01536-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00347-021-01536-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T07:49:41Z","timestamp":1699948181000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00347-021-01536-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,16]]},"references-count":70,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["1536"],"URL":"https:\/\/doi.org\/10.1007\/s00347-021-01536-9","relation":{},"ISSN":["0941-293X","1433-0423"],"issn-type":[{"value":"0941-293X","type":"print"},{"value":"1433-0423","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,16]]},"assertion":[{"value":"8 November 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 December 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Einhaltung ethischer Richtlinien"}},{"value":"L.G.\u00a0Jansen: finanzielle F\u00f6rderung: Deutsche Ophthalmologische Gesellschaft (DOG); Reisekostenf\u00f6rderung: Gesellschaft f\u00fcr internationale Zusammenarbeit (GIZ). F.G.\u00a0Holz: finanzielle F\u00f6rderung: Acucela, Allergan, Apellis, Bayer, Bioeq\/Formycon, Roche\/Genentech, Geucer, Heidelberg Engineering, iVericBio, Kanghong, Novartis, Zeiss; Beratert\u00e4tigkeit: Boehringer-Ingelheim, Grayburg Vision, Lin BioScience, Pixum Vision, Stealth BioTherapeutics, Aerie, Oxuxrion. M.W.M.\u00a0Wintergerst: finanzielle F\u00f6rderung: BONFOR GEROK Program, Faculty of Medicine, University of Bonn (F\u00f6rder-Nr. O\u2011137.0028), Else Kr\u00f6ner-Fresenius Stiftung, Bundesministerium f\u00fcr Wirtschaftliche Zusammenarbeit und Entwicklung (BMZ), CenterVue SpA, Berlin-Chemie AG, Deutsche Ophthalmologische Gesellschaft (DOG), Heine Optotechnik GmbH; Beratert\u00e4tigkeit: Heine Optotechnik GmbH; Honorare f\u00fcr Referentent\u00e4tigkeit: ASKIN & CO GmbH, Heine Optotechnik GmbH; Reisekostenf\u00f6rderung: ASKIN & CO GmbH, Berlin-Chemie AG, DigiSight Technologies, Heine Optotechnik GmbH, European Society of Retina Specialists (EURETINA), Deutscher Akademischer Austauschdienst (DAAD), Association for Research in Vision and Ophthalmology (ARVO); kostenlose zur Verf\u00fcgungstellung von Material\/Dienstleistungen: Heidelberg Engineering, Optos, Carl Zeiss Meditec, CenterVue SpA, D\u2011Eye Srl, Heine Optotechnik GmbH, Eyenuk, Inc. T.\u00a0Schultz und R.P.\u00a0Finger geben an, dass kein Interessenkonflikt besteht.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Interessenkonflikt"}},{"value":"F\u00fcr diesen Beitrag wurden von den Autoren keine Studien an Menschen oder Tieren durchgef\u00fchrt. F\u00fcr die aufgef\u00fchrten Studien gelten die jeweils dort angegebenen ethischen Richtlinien.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Interessenkonflikt"}}]}}