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

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;102(2):86 View
  2. Awan S, Khattak M, Khan A, Sathio A, Alsayaydeh J, Bacarra R, Herawan S, Aziz R. Meta-analysis of large language models: benchmarking DeepSeek-R1 against ChatGPT, Gemini, Qwen, and LLaMA. Journal of Big Data 2025;13(1) View