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

AI Language Models in Health Care (288) Clinical Information and Decision Making (2149) Innovations and Technology in Cancer Care (589) Imaging Informatics (351) Breast Cancer (332) Medical imaging (144) Generative Language Models Including ChatGPT (883)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68182, first published .
Doctor shows patient medical information on a tablet

Evaluation of Large Language Models for Radiologists’ Support in Multidisciplinary Breast Cancer Teams: Comparative Study

Evaluation of Large Language Models for Radiologists’ Support in Multidisciplinary Breast Cancer Teams: Comparative Study

Authors of this article:

Hong Jiang1, 2 Author Orcid Image ;   Chun Yang3 Author Orcid Image ;   Wenbin Zhou4 Author Orcid Image ;   Cheng-liang Yin5 Author Orcid Image ;   Shan Zhou6, 7 Author Orcid Image ;   Rui He8 Author Orcid Image ;   Guanghui Ran9 Author Orcid Image ;   Wujie Wang9 Author Orcid Image ;   Meixian Wu2 Author Orcid Image ;   Juan Yu9 Author Orcid Image
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Journals

  1. Jiang H, Yang C, Zhou W, Yin C, Zhou S, He R, Ran G, Wang W, Wu M, Yu J. Correction: Evaluation of Large Language Models for Radiologists' Support in Multidisciplinary Breast Cancer Teams: Comparative Study. JMIR Medical Informatics 2026;14:e97580 View