Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers' and Patients' Perspectives
Rachel Marjorie Wei Wen Tseng, Dinesh Visva Gunasekeran, Sarah Shwu Huey Tan, Tyler Hyungtaek Rim, Elaine Lum, Gavin Siew Wei Tan, Tien Yin Wong, Yih Chung Tham
Abstract
ABSTRACT: 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 detection and management of various eye diseases, few have reached the stage of regulatory approval for real-world implementation. To better enable 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 seamless transition to real-world implementation.