Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence
In this cross-sectional study, AI evaluation of fundus photographs among patients with DME and VA 20/80 or better estimated spectacle-corrected VA within approximately 1 to 1.5 lines of actual spectacle-corrected VA. These results support use of AI evaluation of fundus photographs to determine spectacle-corrected VA among patients with DME globally, beyond ophthalmology offices.
Authors
- T. Y. Alvin Liu (ORCID: https://orcid.org/0000-0003-2957-0755)
- Sophie Z. Gu (ORCID: https://orcid.org/0000-0001-6956-7134)
- Jun Kong (ORCID: https://orcid.org/0000-0002-7880-2578)
- William Paul (ORCID: https://orcid.org/0000-0001-7620-6361)
- Farshid Sepehrband (ORCID: https://orcid.org/0000-0002-4483-5961)
- Zhuolin Li (ORCID: https://orcid.org/0009-0008-3370-633X)
- Rohita Mocharla
- Onnisa Nanegrungsunk (ORCID: https://orcid.org/0000-0001-9542-1323)
- Ashley Zhou (ORCID: https://orcid.org/0000-0002-3678-1166)
- Cindy X. Cai (ORCID: https://orcid.org/0000-0003-3752-7239)
- Philippe Burlina (ORCID: https://orcid.org/0000-0002-6353-0880)
- Neil M. Bressler
- Neil Joshi
- Susan B. Bressler
- Hadi Moini
Institutions
- Mayo Clinic (US)
- NewYork–Presbyterian Hospital (US)
- Johns Hopkins University (US)
- Regeneron (United States) (US)
- Johns Hopkins Medicine (US)
- New York Hospital Queens (US)
- Johns Hopkins University Applied Physics Laboratory (US)
- Chiang Mai University (TH)
- Columbia University (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1001/jamanetworkopen.2024.53770
- Citations
- 2
- Primary Topic
- Retinal Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 3.41
Funders
- Amgen
- Johns Hopkins University
- Regeneron Pharmaceuticals
- Mylan
- Genentech