Artificial intelligence and machine learning in ophthalmology: A review
Ojas Srivastava, Matthew Tennant, Parampal S. Grewal, Uriel Rubin, Mark E. Seamone
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.
Topics & Concepts
SubspecialtyMedicineSpecialtyArtificial intelligenceOphthalmologyOptometryNeuro-ophthalmologyData scienceGlaucomaComputer sciencePathologyRetinal Imaging and AnalysisRetinal and Optic ConditionsGlaucoma and retinal disorders