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Artificial intelligence and corneal diseases
Author(s) -
Linda Kang,
Dena Ballouz,
Maria A. Woodward
Publication year - 2022
Publication title -
current opinion in ophthalmology, with evaluated medline/current opinion in ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.371
H-Index - 86
eISSN - 1080-8132
pISSN - 1040-8738
DOI - 10.1097/icu.0000000000000885
Subject(s) - keratoconus , medicine , artificial intelligence , comparability , standardization , modalities , keratitis , population , optometry , computer science , ophthalmology , cornea , social science , mathematics , environmental health , combinatorics , sociology , operating system
Artificial intelligence has advanced rapidly in recent years and has provided powerful tools to aid with the diagnosis, management, and treatment of ophthalmic diseases. This article aims to review the most current clinical artificial intelligence applications in anterior segment diseases, with an emphasis on microbial keratitis, keratoconus, dry eye syndrome, and Fuchs endothelial dystrophy.

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