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Review
. 2023 Jan;71(1):11-17.
doi: 10.4103/ijo.IJO_1569_22.

Artificial intelligence and machine learning in ophthalmology: A review

Ojas Srivastava  1 , Matthew Tennant  2 , Parampal Grewal  3 , Uriel Rubin  2 , Mark Seamone  2
Affiliations
Review

Artificial intelligence and machine learning in ophthalmology: A review

Ojas Srivastava et al. Indian J Ophthalmol. 2023 Jan.

Abstract

Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical care. As an important frontier in healthcare, AI has implications on every subspecialty within medicine. This review highlights the applications of AI in ophthalmology: a specialty that lends itself well to the integration of computer algorithms due to the high volume of digital imaging, data, and objective metrics such as central retinal thickness. The focus of this review is the use of AI in retina, cornea, anterior segment, and pediatrics.

Keywords: AI; anterior segment; cornea; ophthalmology; pediatrics; retina.

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Conflict of interest statement

There are no conflicts of interest.

Dataset described in

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