Accessibility settings

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

Discretionary Corrigenda (27) Registered Report (871)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/97580, first published .
Correction: Evaluation of Large Language Models for Radiologists' Support in Multidisciplinary Breast Cancer Teams: Comparative Study

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

Correction: 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
Article Authors Cited by Tweetations Metrics

    Corrigenda and Addenda

    1Faculty of Medicine, Macau University of Science and Technology, Macao, China

    2Department of Statistics, Zhuhai Clinical Medical College of Jinan University, Zhuhai, GuangDong, China

    3Qiandongnan Prefecture Hospital of Traditional Chinese Medicine, Kai Li, China

    4Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai, China

    5Department of Medical Innovation Research, Chinese PLA General Hospital, Beijing, China

    6Cancer Virology Program, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States

    7Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States

    8Grammar and Cognition Lab (GraC), Department of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain

    9Department of Radiology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China

    *these authors contributed equally

    Corresponding Author:

    Juan Yu, MD, PhD

    Department of Radiology

    Shenzhen Second People's Hospital

    The First Affiliated Hospital of Shenzhen University

    Sungang Road 3002

    Shenzhen, 518003

    China

    Phone: 86 18576685849

    Email: yujuan0072@qq.com



    The incorrectly listed grant number “112175605105” has been replaced with the formal grant number “2023A0505050118,” which was supported by the Department of Science and Technology of Guangdong Province. All other funding details remain unchanged. This correction does not affect the scientific findings, data, or conclusions of the study.

    The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    1. Jiang H, Yang C, Zhou W, Yin C-L, Zhou S, He R, et al. Evaluation of Large Language Models for Radiologists' Support in Multidisciplinary Breast Cancer Teams: Comparative Study. JMIR Med Inform. Feb 02, 2026;14:e68182. [FREE Full text] [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 08.Apr.2026; accepted 09.Apr.2026; published 07.May.2026.

    Copyright

    ©Hong Jiang, Chun Yang, Wenbin Zhou, Cheng-liang Yin, Shan Zhou, Rui He, Guanghui Ran, Wujie Wang, Meixian Wu, Juan Yu. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 07.May.2026.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.