American Society of Retina Specialists Artificial Intelligence Task Force Report

Katherine E Talcott; Sally L Baxter; Dinah K Chen; Edward Korot; Aaron Lee; Judy E Kim; Yasha Modi; Darius M Moshfeghi; Rishi P Singh

doi:10.1177/24741264241247602

American Society of Retina Specialists Artificial Intelligence Task Force Report

J Vitreoretin Dis. 2024 Apr 20;8(4):373-380. doi: 10.1177/24741264241247602. eCollection 2024 Jul-Aug.

Authors

Katherine E Talcott^{1

2}, Sally L Baxter^{3

4}, Dinah K Chen^{5

6}, Edward Korot^{7

8}, Aaron Lee⁹, Judy E Kim¹⁰, Yasha Modi⁵, Darius M Moshfeghi⁸, Rishi P Singh^{1

2

11}

Affiliations

¹ Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
² Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
³ Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
⁴ Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
⁵ Department of Ophthalmology, NYU Grossman School of Medicine, New York University, NY, USA.
⁶ Genentech/Roche, South San Francisco, CA, USA.
⁷ Retina Specialists of Michigan, Grand Rapids, MI, USA.
⁸ Horngren Family Vitreoretinal Center, Byers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA.
⁹ Roger and Angie Karalis Johnson Retina Center, Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA.
¹⁰ Department of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
¹¹ Cleveland Clinic Martin Health, Stuart, FL, USA.

PMID: 39148579
PMCID: PMC11323512 (available on 2025-04-20)
DOI: 10.1177/24741264241247602

Abstract

Since the Artificial Intelligence Committee of the American Society of Retina Specialists developed the initial task force report in 2020, the artificial intelligence (AI) field has seen further adoption of US Food and Drug Administration-approved AI platforms and significant development of AI for various retinal conditions. With expansion of this technology comes further areas of challenges, including the data sources used in AI, the democracy of AI, commercialization, bias, and the need for provider education on the technology of AI. The overall focus of this committee report is to explore these recent issues as they relate to the continued development of AI and its integration into ophthalmology and retinal practice.

Keywords: artificial intelligence; bias; commercialization; data sources; deep learning; diabetic retinopathy; education; fundus photographs; optical coherence tomography; retina.