ChatGPT-Assisted Glaucoma Diagnosis: A Health-Equitable Multi-Ancestry Analysis Using Visual Field and Optical Coherence Tomography Data

ChatGPT o1 Pro diagnosed glaucoma similarly to specialists using only VF and OCT data. The model performance was similar across ancestral groups and genetic predispositions to glaucoma.

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Publication Details

Journal
American Journal of Ophthalmology
Published
2025-12-04
DOI
https://doi.org/10.1016/j.ajo.2025.11.046
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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ChatGPT-Assisted Glaucoma Diagnosis: A Health-Equitable Multi-Ancestry Analysis Using Visual Field and Optical Coherence Tomography Data

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ChatGPT-Assisted Glaucoma Diagnosis: A Health-Equitable Multi-Ancestry Analysis Using Visual Field and Optical Coherence Tomography Data

Louis R. Pasquale, Jae H. Kang, N. Paulescu, Tak Yee Tania Tai, James C. Tsai, Alon Harris, Tobias Elze, Nazlee Zebardast, Anthony Fam, Kanza Aziz, Anna Fabczak-Kubicka, David Steven Friedman, Andy Huang, Ron Do, Janey L. Wiggs, Mengyu Wang, Huijuan Zhao
article en

Abstract

ChatGPT o1 Pro diagnosed glaucoma similarly to specialists using only VF and OCT data. The model performance was similar across ancestral groups and genetic predispositions to glaucoma.

American Journal of OphthalmologyVol. 283
Brigham and Women's Hospital (US), Massachusetts Eye and Ear Infirmary (US), Harvard University (US), New York Eye and Ear Infirmary (US), Child Health and Development Institute (US), Icahn School of Medicine at Mount Sinai (US)
Research to Prevent Blindness, Glaucoma Foundation, New York Eye and Ear Infirmary of Mount Sinai, American Academy of Ophthalmology, National Institutes of Health, National Eye Institute
Openalex Percentile: Top 47%
Retinal Imaging and Analysis
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