Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60226, first published .
Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study

Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study

Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study

Journals

  1. Wei B, Yao L, Hu X, Hu Y, Rao J, Ji Y, Dong Z, Duan Y, Wu X. Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study. Journal of Medical Internet Research 2025;27:e67883 View
  2. Srinivasan S, Ji H, Chen D, Wong W, Soh Z, Goh J, Pushpanathan K, Wang X, Ma W, Wong T, Wang Y, Cheng C, Tham Y. Can off-the-shelf visual large language models detect and diagnose ocular diseases from retinal photographs?. BMJ Open Ophthalmology 2025;10(1):e002076 View
  3. Shan G, Chen X, Wang C, Liu L, Gu Y, Jiang H, Shi T. Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis. JMIR Medical Informatics 2025;13:e64963 View