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Peer Reviews (242)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69870, first published .
Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”

Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”

Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”

Authors of this article:

Anonymous
Article Authors Cited by Tweetations Metrics


    This is the peer-review report for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study.”


    General Comments

    This paper [1] construct a checklist to support the development and implementation of artificial intelligence (AI) in clinical settings. I only have some minor comments.

    Minor Comments

    1. Comparison with existing checklists: Please add a comparison with some of the existing checklists.

    2. Inconsistency in the number of studies: The authors initially stated that they included 20 studies, but later mentioned 23. Please clarify.

    3. Appendix visibility: The appendix is not visible.

    4. Abbreviation consistency: The abbreviation “IQR” appears multiple times. Please ensure it is clearly defined and used consistently.

    Conflicts of Interest

    None declared.

    1. Owoyemi A, Osuchukwu J, Salwei ME, Boyd A. Checklist approach to developing and implementing AI in clinical settings: instrument development study. JMIRx Med. 2025;6:e65565. [CrossRef]

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    AI: artificial intelligence

    Edited by Ching Nam Hang, Edward Meinert, Tiffany Leung; This is a non–peer-reviewed article. submitted 10.12.24; accepted 10.12.24; published 20.02.25.

    Copyright

    © Anonymous. Originally published in JMIRx Med (https://med.jmirx.org), 20.2.2025.

    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 JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.