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

Generative Language Models Including ChatGPT (760) Artificial Intelligence (2252) AI Language Models in Health Care (224) Responsible Health AI (67) Clinical Information and Decision Making (2007) Computer-Aided Diagnosis (268)

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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Journals

  1. Pantel J, Hübel K, Fluch-Niebuhr J, Hentrich M, Liedgens P, Hermeneit S, Lipp T, Maoz D, Kirchhoff J, Mücke M, Dalhaus L, Rott U, van Rooij N. Früherkennung seltener Erkrankungen mit künstlicher Intelligenz. Zeitschrift für Allgemeinmedizin 2026 View