Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers' and Patients' Perspectives. Issue 3 (May 2021)

• Record Type: Journal Article
• Authors: Tseng, Rachel Marjorie Wei Wen; Gunasekeran, Dinesh Visva; Tan, Sarah Shwu Huey; Rim, Tyler Hyungtaek; Lum, Elaine; Tan, Gavin S.W.; Wong, Tien Yin; Tham, Yih-Chung
• Is Part Of: Asia-Pacific journal of ophthalmology. Volume 10:Issue 3(2021)
• Publication Date: 2021-05
• Subjects: artificial Intelligence -- ophthalmology -- real-world implementation; Ophthalmology -- Periodicals; Eye -- Diseases -- Periodicals; Periodicals; 617.7005
• DOI: 10.1097/APO.0000000000000400
• Languages: English
• ISSNs: 0129-1653

Abstract

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.