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Corrigenda and Addenda (52)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83537, first published .
Correction: Factors Affecting the Receptiveness of Chinese Internists and Surgeons Toward Artificial Intelligence–Driven Drug Prescription: Protocol for a Systematic Survey Study

Correction: Factors Affecting the Receptiveness of Chinese Internists and Surgeons Toward Artificial Intelligence–Driven Drug Prescription: Protocol for a Systematic Survey Study

Correction: Factors Affecting the Receptiveness of Chinese Internists and Surgeons Toward Artificial Intelligence–Driven Drug Prescription: Protocol for a Systematic Survey Study

Authors of this article:

Qiujin Shen1, 2 Author Orcid Image ;   Xiaowen Gong1, 2 Author Orcid Image ;   Wei Zhang1, 2 Author Orcid Image ;   Yu Hu1, 2 Author Orcid Image ;   Yueshen Ma1, 2 Author Orcid Image ;   Ziyi Ren1, 2 Author Orcid Image ;   Sichang Liu1, 2 Author Orcid Image ;   Zhen Song1, 2 Author Orcid Image ;   Robert Peter Gale3 Author Orcid Image ;   Jinyu Wang1, 2 Author Orcid Image ;   Junren Chen1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    Corrigenda and Addenda

    1State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China

    2Tianjin Institutes of Health Science, Tianjin, China

    3Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, United Kingdom

    *these authors contributed equally

    Corresponding Author:

    Junren Chen, MD, PhD

    State Key Laboratory of Experimental Hematology

    National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital

    Chinese Academy of Medical Sciences & Peking Union Medical College

    288 Nanjing Road

    Tianjin, 300020

    China

    Phone: 86 22 2360 8045

    Email: chenjunren@ihcams.ac.cn



    In “Factors Affecting the Receptiveness of Chinese Internists and Surgeons Toward Artificial Intelligence–Driven Drug Prescription: Protocol for a Systematic Survey Study” (JMIR Res Protoc 2025;14:e76009) the authors noted one error.

    In Textbox 1, under both forced-choice questions, the first option:

    ≤1 to 3

    Has been revised to:

    ≤1

    And the following option has been added underneath the first option:

    1.1 to 3

    So that Textbox 1 now reads as follows:

    Textbox 1. Forced-choice questions in the survey questionnaire.

    I anticipate ≥1 physician (possibly, including myself) at my hospital will become ready to use AI to prescribe a drug within _____ years.

    • ≤1
    • 1.1 to 3
    • 3.1 to 5
    • 5.1 to 10
    • >10
    • Never

    I anticipate I myself will become ready to use AI to prescribe a drug within _____ years.

    • ≤1
    • 1.1 to 3
    • 3.1 to 5
    • 5.1 to 10
    • >10
    • Never

    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.

    This is a non–peer-reviewed article. submitted 04.09.25; accepted 04.09.25; published 10.09.25.

    Copyright

    ©Qiujin Shen, Xiaowen Gong, Wei Zhang, Yu Hu, Yueshen Ma, Ziyi Ren, Sichang Liu, Zhen Song, Robert Peter Gale, Jinyu Wang, Junren Chen. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 10.09.2025.

    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 JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.