This paper is in the following e-collection/theme issue:

Digital Health Reviews (1781) Generative Language Models Including ChatGPT (760) Ophthalmology (73) AI Language Models in Health Care (224) Research Methodology - AI (44)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76947, first published .
Evaluating Large Language Models in Ophthalmology: Systematic Review

Evaluating Large Language Models in Ophthalmology: Systematic Review

Evaluating Large Language Models in Ophthalmology: Systematic Review

Authors of this article:

Zili Zhang1 Author Orcid Image ;   Haiyang Zhang1 Author Orcid Image ;   Zhe Pan2 Author Orcid Image ;   Zhangqian Bi2 Author Orcid Image ;   Yao Wan2 Author Orcid Image ;   Xuefei Song1 Author Orcid Image ;   Xianqun Fan1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Cohen L, Gupta A, Patel P, Gill G, Bains H, Gupta S. The Role of Large Language Models in Ophthalmology: A Review of Current Applications, Performance, and Future Directions. Cureus 2025 View
  2. Olszewski R, Brzeziński J, Watros K, Rysz J. Quantifying Readability in Chatbot-Generated Medical Texts Using Classical Linguistic Indices: A Review. Applied Sciences 2026;16(3):1423 View