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

#xHealthInformatics (23) Generative Language Models Including ChatGPT (760) AI Language Models in Health Care (224) Computer-Aided Diagnosis (268) Foundation Models and Their Applications in AI (54)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74899, first published .
Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study

Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study

Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study

Authors of this article:

Tobias Roeschl1, 2, 3, 4, 5 Author Orcid Image ;   Marie Hoffmann2, 4, 5 Author Orcid Image ;   Djawid Hashemi1, 2, 3, 4 Author Orcid Image ;   Felix Rarreck2, 5 Author Orcid Image ;   Nils Hinrichs2, 4, 5 Author Orcid Image ;   Tobias Daniel Trippel1, 2, 4 Author Orcid Image ;   Matthias I Gröschel2, 6 Author Orcid Image ;   Axel Unbehaun2, 5 Author Orcid Image ;   Christoph Klein2, 5 Author Orcid Image ;   Jörg Kempfert2, 5 Author Orcid Image ;   Henryk Dreger1, 2 Author Orcid Image ;   Benjamin O'Brien2, 7, 8 Author Orcid Image ;   Gerhard Hindricks1, 2 Author Orcid Image ;   Felix Balzer2, 9 Author Orcid Image ;   Volkmar Falk2, 4, 5, 10 Author Orcid Image ;   Alexander Meyer2, 4, 5, 11 Author Orcid Image
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Journals

  1. Guiducci L, Saulle C, Dimitri G, Valli B, Alpini S, Tenti C, Rizzo A. Dialogical AI for Cognitive Bias Mitigation in Medical Diagnosis. Applied Sciences 2026;16(2):710 View