TY - JOUR
T1 - Artificial intelligence and machine learning in ophthalmology
T2 - A review
AU - Srivastava, Ojas
AU - Tennant, Matthew
AU - Grewal, Parampal
AU - Rubin, Uriel
AU - Seamone, Mark
PY - 2023/1/1
Y1 - 2023/1/1
N2 - 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.
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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U2 - 10.4103/ijo.IJO_1569_22
DO - 10.4103/ijo.IJO_1569_22
M3 - Review article
C2 - 36588202
AN - SCOPUS:85145344115
SN - 0301-4738
VL - 71
SP - 11
EP - 17
JO - Indian Journal of Ophthalmology
JF - Indian Journal of Ophthalmology
IS - 1
ER -