{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T20:55:17Z","timestamp":1789505717486,"version":"build-2803163510"},"reference-count":59,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"3","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:p>\n                    In modern ophthalmology, the advent of artificial intelligence (AI) is gradually showing promising results. The application of complex algorithms to machine and deep learning has the potential to improve the diagnosis of various corneal and ocular surface diseases, customize the treatment, and enhance patient outcomes. Moreover, the use of AI can ameliorate the efficiency of the health-care system by providing more accurate results, reducing the workload of ophthalmologists, allowing the analysis of a big amount of data, and reducing the time and resources required for manual image acquisition and analysis. In this article, we reviewed the most important and recently published applications of AI in the field of cornea and ocular surface diseases, with a particular focus on keratoconus, infectious keratitis, corneal transplants, and the use of\n                    <jats:italic toggle=\"yes\">in vivo<\/jats:italic>\n                    confocal microscopy.\n                  <\/jats:p>","DOI":"10.4103\/sjopt.sjopt_52_23","type":"journal-article","created":{"date-parts":[[2023,12,10]],"date-time":"2023-12-10T23:15:57Z","timestamp":1702250157000},"page":"179-184","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":18,"title":["Artificial intelligence in cornea and ocular surface diseases"],"prefix":"10.4103","volume":"37","author":[{"given":"Luca","family":"Pagano","sequence":"first","affiliation":[{"name":"Cornea Service, St. Paul\u2018s Eye Unit, Royal Liverpool University Hospital, Liverpool, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matteo","family":"Posarelli","sequence":"additional","affiliation":[{"name":"Cornea Service, St. Paul\u2018s Eye Unit, Royal Liverpool University Hospital, Liverpool, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppe","family":"Giannaccare","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University \u201cMagna Gr\u00e6cia\u201d of Catanzaro, Catanzaro"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia","family":"Coco","sequence":"additional","affiliation":[{"name":"Department of Clinical Science and Translational Medicine, University of Rome Tor Vergata, Rome"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincenzo","family":"Scorcia","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University \u201cMagna Gr\u00e6cia\u201d of Catanzaro, Catanzaro"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vito","family":"Romano","sequence":"additional","affiliation":[{"name":"Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Ophthalmology Clinic, University of Brescia, Brescia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfredo","family":"Borgia","sequence":"additional","affiliation":[{"name":"Cornea Service, St. Paul\u2018s Eye Unit, Royal Liverpool University Hospital, Liverpool, UK"},{"name":"Eye Clinic, Humanitas Gradenigo, Turin, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2023,9,16]]},"reference":[{"key":"R1-20240830","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1136\/bjophthalmol-2018-313173","article-title":"Artificial intelligence and deep learning in ophthalmology","volume":"103","author":"Ting","year":"2019","journal-title":"Br J 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