{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T06:43:48Z","timestamp":1768545828385,"version":"3.49.0"},"reference-count":14,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,15]]},"DOI":"10.7759\/cureus.101591","type":"journal-article","created":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T13:05:09Z","timestamp":1768482309000},"source":"Crossref","is-referenced-by-count":0,"title":["Developing an AI-Based Model for Lagophthalmos and Bell's Phenomenon Detection in Intensive Care Unit Patients: A Gold Standard Comparison"],"prefix":"10.7759","author":[{"given":"Maram","family":"Alnefaie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nawaf S","family":"Althobaiti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdulrahman","family":"Almatrafi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haya A","family":"Alnafisah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Majed","family":"Alqurashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/0885066613510674","article-title":"Making a difference in eye care of the critically ill patients","volume":"30","author":"Alansari MA","year":"2015","unstructured":"Alansari MA, Hijazi MH, Maghrabi KA. Making a difference in eye care of the critically ill patients. J Intensive Care Med. 2015, 30:311-7. 10.1177\/0885066613510674","journal-title":"J Intensive Care Med"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s13054-017-1925-5","article-title":"Incidence, risk factors and impact of protocolised care on exposure keratopathy in critically ill adults: a two-phase prospective cohort study","volume":"22","author":"Kousha O","year":"2018","unstructured":"Kousha O, Kousha Z, Paddle J. Incidence, risk factors and impact of protocolised care on exposure keratopathy in critically ill adults: a two-phase prospective cohort study. Crit Care. 2018, 22:5. 10.1186\/s13054-017-1925-5","journal-title":"Crit Care"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph182111178","article-title":"Risk factors of eye complications in patients treated in the intensive care unit","volume":"18","author":"P\u0142aszewska-\u017bywko L","year":"2021","unstructured":"P\u0142aszewska-\u017bywko L, Sega A, Bukowa A, Wojnar-Gruszka K, Podstawa M, K\u00f3zka M. Risk factors of eye complications in patients treated in the intensive care unit. Int J Environ Res Public Health. 2021, 18:11178. 10.3390\/ijerph182111178","journal-title":"Int J Environ Res Public Health"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijnurstu.2021.103926","article-title":"Comparative efficacy of various preventive methods for exposure keratopathy among critically ill patients: a network meta-analysis of randomized controlled trials","volume":"118","author":"Yao L","year":"2021","unstructured":"Yao L, Luo Y, Wang Y, et al.. Comparative efficacy of various preventive methods for exposure keratopathy among critically ill patients: a network meta-analysis of randomized controlled trials. Int J Nurs Stud. 2021, 118:103926. 10.1016\/j.ijnurstu.2021.103926","journal-title":"Int J Nurs Stud"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1097\/ICO.0000000000001961","article-title":"Prevalence and risk factors of exposure keratopathy across different intensive care units","volume":"38","author":"Hartford JB","year":"2019","unstructured":"Hartford JB, Bian Y, Mathews PM, et al.. Prevalence and risk factors of exposure keratopathy across different intensive care units. Cornea. 2019, 38:1124-30. 10.1097\/ICO.0000000000001961","journal-title":"Cornea"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.7860\/JCDR\/2017\/25906.10717","article-title":"Exposure keratopathy: prophylaxis and impact of eye care education programme in ICU patients","volume":"11","author":"Narmawala W","year":"2017","unstructured":"Narmawala W, Jani H. Exposure keratopathy: prophylaxis and impact of eye care education programme in ICU patients. J Clin Diagn Res. 2017, 11:6-9. 10.7860\/JCDR\/2017\/25906.10717","journal-title":"J Clin Diagn Res"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0b013e31818f0ee7","article-title":"Eye care in the intensive care unit: narrative review and meta-analysis","volume":"36","author":"Rosenberg JB","year":"2008","unstructured":"Rosenberg JB, Eisen LA. Eye care in the intensive care unit: narrative review and meta-analysis. Crit Care Med. 2008, 36:3151-5. 10.1097\/CCM.0b013e31818f0ee7","journal-title":"Crit Care Med"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1590\/1518-8345.0897.2689","article-title":"Prediction of risk and incidence of dry eye in critical patients","volume":"24","author":"de Ara\u00fajo DD","year":"2016","unstructured":"de Ara\u00fajo DD, Almeida NG, Silva PM, Ribeiro NS, Werli-Alvarenga A, Chianca TC. Prediction of risk and incidence of dry eye in critical patients. Rev Lat Am Enfermagem. 2016, 24:e2689. 10.1590\/1518-8345.0897.2689","journal-title":"Rev Lat Am Enfermagem"},{"key":"ref9","doi-asserted-by":"publisher","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 MD","year":"2018","unstructured":"Abr\u00e0moff MD, Lavin PT, Birch M, Shah N, Folk JC. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med. 2018, 1:39. 10.1038\/s41746-018-0040-6","journal-title":"NPJ Digit Med"},{"key":"ref10","doi-asserted-by":"publisher","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 PM","year":"2017","unstructured":"Burlina PM, Joshi N, Pekala M, Pacheco KD, Freund DE, Bressler NM. Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks. JAMA Ophthalmol. 2017, 135:1170-6. 10.1001\/jamaophthalmol.2017.3782","journal-title":"JAMA Ophthalmol"},{"key":"ref11","doi-asserted-by":"publisher","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 Z","year":"2018","unstructured":"Li Z, He Y, Keel S, Meng W, Chang RT, He M. Efficacy of a deep learning system for detecting glaucomatous optic neuropathy based on color fundus photographs. Ophthalmology. 2018, 125:1199-206. 10.1016\/j.ophtha.2018.01.023","journal-title":"Ophthalmology"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5772\/intechopen.72791","article-title":"Exposure keratopathy in the intensive care unit: do not neglect the unseen","author":"Bird B","year":"2018","unstructured":"Bird B, Dingley S, Stawicki SP, Wojda TR. Exposure keratopathy in the intensive care unit: do not neglect the unseen. IntechOpen. 2018, 10.5772\/intechopen.72791","journal-title":"IntechOpen"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/1751143718764529","article-title":"Eye care in the intensive care unit","volume":"19","author":"Hearne BJ","year":"2018","unstructured":"Hearne BJ, Hearne EG, Montgomery H, Lightman SL. Eye care in the intensive care unit. J Intensive Care Soc. 2018, 19:345-50. 10.1177\/1751143718764529","journal-title":"J Intensive Care Soc"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.201812-848CME","article-title":"Ophthalmology in critical care","volume":"16","author":"Parekh PH","year":"2019","unstructured":"Parekh PH, Boente CS, Boente RD, Meeker JW, Carlos WG. Ophthalmology in critical care. Ann Am Thorac Soc. 2019, 16:957-66. 10.1513\/AnnalsATS.201812-848CME","journal-title":"Ann Am Thorac Soc"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/427585-developing-an-ai-based-model-for-lagophthalmos-and-bells-phenomenon-detection-in-intensive-care-unit-patients-a-gold-standard-comparison","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T13:05:09Z","timestamp":1768482309000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/427585-developing-an-ai-based-model-for-lagophthalmos-and-bells-phenomenon-detection-in-intensive-care-unit-patients-a-gold-standard-comparison"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,15]]},"references-count":14,"URL":"https:\/\/doi.org\/10.7759\/cureus.101591","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2026,1,15]]}}}