Artificial intelligence and machine learning in ophthalmology: A review

Ojas Srivastava; Matthew Tennant; Parampal Grewal; Uriel Rubin; Mark Seamone

doi:10.4103/ijo.IJO_1569_22

Artificial intelligence and machine learning in ophthalmology: A review

Ojas Srivastava, Matthew Tennant, Parampal Grewal, Uriel Rubin, Mark Seamone

Research output: Contribution to journal › Review article › peer-review

33 Citations (Scopus)

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.

Original language	English
Pages (from-to)	11-17
Number of pages	7
Journal	Indian Journal of Ophthalmology
Volume	71
Issue number	1
DOIs	https://doi.org/10.4103/ijo.IJO_1569_22
Publication status	Published - Jan 1 2023
Externally published	Yes

ASJC Scopus Subject Areas

Ophthalmology

PubMed: MeSH publication types

Journal Article
Review

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10.4103/ijo.IJO_1569_22

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AB - 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.

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Artificial intelligence and machine learning in ophthalmology: A review

Abstract

ASJC Scopus Subject Areas

PubMed: MeSH publication types

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