Close search modal
Original Paper Fundus

Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers’ and Patients’ Perspectives

Asia-Pacific Journal of Ophthalmology
AUTHORS

Tseng, Rachel Marjorie Wei Wen BA; Gunasekeran, Dinesh Visva MD; Tan, Sarah Shwu Huey BSc; Rim, Tyler Hyungtaek MD, PhD; Lum, Elaine PhD; Tan, Gavin S.W. MD, PhD; Wong, Tien Yin MD, PhD; Tham, Yih-Chung PhD

Artificial Intelligence (AI), in particular deep learning, has made waves in the health care industry, with several prominent examples shown in ophthalmology. Despite the burgeoning reports on the development of new AI algorithms for the detection and management of various eye diseases, few have reached the stage of regulatory approval for real-world implementation. To better enable the real-world translation of AI systems, it is important to understand the demands, needs, and concerns of both health care professionals and patients, as providers and recipients of clinical care are impacted by these solutions. This review outlines the advantages and concerns of incorporating AI in ophthalmology care delivery, from both the providers’ and patients’ perspectives and the key enablers for a seamless transition to real-world implementation.