Application of artificial intelligence in glaucoma care: An updated review

Author:

Wu Jo-Hsuan12,Lin Shan3,Moghimi Sasan1

Affiliation:

1. Shiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California

2. Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, New York

3. Glaucoma Center of San Francisco, San Francisco, CA, United States

Abstract

Abstract: The application of artificial intelligence (AI) in ophthalmology has been increasingly explored in the past decade. Numerous studies have shown promising results supporting the utility of AI to improve the management of ophthalmic diseases, and glaucoma is of no exception. Glaucoma is an irreversible vision condition with insidious onset, complex pathophysiology, and chronic treatment. Since there remain various challenges in the clinical management of glaucoma, the potential role of AI in facilitating glaucoma care has garnered significant attention. In this study, we reviewed the relevant literature published in recent years that investigated the application of AI in glaucoma management. The main aspects of AI applications that will be discussed include glaucoma risk prediction, glaucoma detection and diagnosis, visual field estimation and pattern analysis, glaucoma progression detection, and other applications.

Publisher

Medknow

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