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

Generative Language Models Including ChatGPT (708) Artificial Intelligence (2129) AI Language Models in Health Care (202) Responsible Health AI (54) Clinical Information and Decision Making (1915) Computer-Aided Diagnosis (251)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77334, first published .
Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study

Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study

Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study

Authors of this article:

Hongbin Yu1 Author Orcid Image ;   Tian Chen1 Author Orcid Image ;   Xin Zhang1 Author Orcid Image ;   Yunfan Yang1 Author Orcid Image ;   Qinyu Liu1 Author Orcid Image ;   Chenlu Yang1 Author Orcid Image ;   Kai Shen1 Author Orcid Image ;   He Li1 Author Orcid Image ;   Wenjiao Tang1 Author Orcid Image ;   Xushu Zhong1 Author Orcid Image ;   Xiao Shuai1 Author Orcid Image ;   Xinmei Yu1 Author Orcid Image ;   Yi Liao1 Author Orcid Image ;   Chiyi Wang1 Author Orcid Image ;   Huanling Zhu1 Author Orcid Image ;   Yu Wu1 Author Orcid Image
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