Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69929, first published .
Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study

Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study

Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study

Journals

  1. Yu H, Chen T, Zhang X, Yang Y, Liu Q, Yang C, Shen K, Li H, Tang W, Zhong X, Shuai X, Yu X, Liao Y, Wang C, Zhu H, Wu Y. Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study. Journal of Medical Internet Research 2025;27:e77334 View
  2. Yao Y, Cen X, Gan L, Jiang J, Wang M, Xu Y, Yuan J. Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study. JMIR Medical Informatics 2025;13:e75556 View
  3. Sabouni S, Moufti M, Taha M. From Hype to Implementation: Embedding GPT-4o in Medical Education. JMIR Medical Education 2025;11:e79309 View