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Evaluating the Performance of ChatGPT in Ophthalmology

2023478 citationsJournal Articlegold Open Access

Authors

Fares Antaki · Hôpital Maisonneuve-Rosemont

Samir Touma · Hôpital Maisonneuve-Rosemont

Daniel Milad · Hôpital Maisonneuve-Rosemont

Jonathan El‐Khoury · Hôpital Maisonneuve-Rosemont

Renaud Duval · Hôpital Maisonneuve-Rosemont

Abstract

Proprietary or commercial disclosure may be found after the references.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Clinical Reasoning and Diagnostic Skills Retinal Imaging and Analysis

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: Ophthalmology Science

Volume 3, Issue 4, pp. 100324-100324

DOI: 10.1016/j.xops.2023.100324

Field-Weighted Citation Impact: 18.28

Evaluating the Performance of ChatGPT in Ophthalmology | Researchclopedia