Medical artificial intelligence is as much social as it is technological
File(s)NMI_Comment_17.08.2022.docx (48.54 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Despite the promise of medical artificial intelligence applications, their acceptance in real-world clinical settings is low, with lack of transparency and trust being barriers that need to be overcome. We discuss the importance of the collaborative process in medical artificial intelligence, whereby experts from various fields work together and tackle transparency issues and build trust over time.
Date Issued
2023-02
Date Acceptance
2023-01-01
Citation
Nature Machine Intelligence, 2023, 5 (2), pp.98-100
ISSN
2522-5839
Publisher
Nature Research
Start Page
98
End Page
100
Journal / Book Title
Nature Machine Intelligence
Volume
5
Issue
2
Copyright Statement
Copyright © 2023 Springer-Verlag. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1038/s42256-022-00603-3
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000920812400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Science & Technology
Technology
TRUST
VALIDATION
Publication Status
Published
Date Publish Online
2023-01-26