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Discretionary Corrigenda (111)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84717, first published .
Correction: Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study

Correction: Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study

Correction: Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study

Authors of this article:

Shiqi Qiang1 Author Orcid Image ;   Haitao Zhang2 Author Orcid Image ;   Yang Liao3 Author Orcid Image ;   Yue Zhang4 Author Orcid Image ;   Yanfen Gu5 Author Orcid Image ;   Yiyan Wang3 Author Orcid Image ;   Zehui Xu6 Author Orcid Image ;   Hui Shi7 Author Orcid Image ;   Nuo Han8 Author Orcid Image ;   Haiping Yu9 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    1Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China

    2Department of Emergency and Critical Care, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China

    3Neurological Rehabilitation Center, Shanghai Sunshine Rehabilitation Center, School of Medicine, Tongji University, Shanghai, China

    4Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China

    5Department of Gastrointestinal Endoscopy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China

    6Department of Breast Diseases, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China

    7Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China

    8School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China

    9Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, No. 1800 Yuntai Road, Shanghai, China

    *these authors contributed equally

    Corresponding Author:

    Haiping Yu, PhD



    In “Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study” [1], the authors noted a few errors in the affiliations.

    The authors’ information was originally published as follows:

    Shiqi Qiang1*, MSc; Haitao Zhang1,2*, MSc; Yang Liao1,3*, MSc; Yue Zhang1,4, PhD; Yanfen Gu1,5, MSc; Yiyan Wang1,3, MSc; Zehui Xu6, BSc; Hui Shi7, MSc; Nuo Han8, BSc; Haiping Yu1,9, PhD
    1School of Medicine, Tongji University, Shanghai, China
    2Department of Emergency and Critical Care, Shanghai East Hospital, Shanghai, China
    3Neurological Rehabilitation Center, Shanghai Sunshine Rehabilitation Center, Shanghai, China
    4Department of Neurology, Shanghai East Hospital, Shanghai, China
    5Department of Gastrointestinal Endoscopy, Shanghai East Hospital, Shanghai, China
    6Department of Breast Diseases, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
    7Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
    8School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
    9Department of Nursing, Shanghai East Hospital, Shanghai, China
    *these authors contributed equally

    The information has now been corrected to:

    ShiqiQiang1*, MSc; Haitao Zhang2*, MSc; Yang Liao3*, MSc; Yue Zhang4, PhD; Yanfen Gu5, MSc; Yiyan Wang3, MSc; Zehui Xu6, BSc; Hui Shi7, MSc; Nuo Han8, BSc; Haiping Yu9, PhD
    1Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
    2Department of Emergency and Critical Care, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
    3Neurological Rehabilitation Center, Shanghai Sunshine Rehabilitation Center, School of Medicine, Tongji University, Shanghai, China
    4Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
    5Department of Gastrointestinal Endoscopy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
    6Department of Breast Diseases, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
    7Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
    8School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
    9Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
    *these authors contributed equally

    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. Qiang S, Zhang H, Liao Y, et al. Application of large language models in stroke rehabilitation health education: 2-phase study. J Med Internet Res. Jul 22, 2025;27:e73226. [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 24.Sep.2025; accepted 29.Sep.2025; published 14.Oct.2025.

    Copyright

    © Shiqi Qiang, Haitao Zhang, Yang Liao, Yue Zhang, Yanfen Gu, Yiyan Wang, Zehui Xu, Hui Shi, Nuo Han, Haiping Yu. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.Oct.2025.

    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 the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.