Artificial intelligence and machine learning in ophthalmology: A review.

Journal: Indian journal of ophthalmology
Published Date: Jan 1, 2023

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.

Authors

  • Ojas Srivastava
    Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alta, Canada.
  • Matthew Tennant
    Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, Alta, Canada.
  • Parampal Grewal
    Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, Alta; Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ont, Canada.
  • Uriel Rubin
    Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, Alta.
  • Mark Seamone
    Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, Alta, Canada.

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