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Ethical guidance for reporting and evaluating claims of AI outperforming human doctors

Authors :
Jojanneke Drogt
Megan Milota
Anne van den Brink
Karin Jongsma
Source :
npj Digital Medicine, Vol 7, Iss 1, Pp 1-4 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Claims of AI outperforming medical practitioners are under scrutiny, as the evidence supporting many of these claims is not convincing or transparently reported. These claims often lack specificity, contextualization, and empirical grounding. In this comment, we offer constructive ethical guidance that can benefit authors, journal editors, and peer reviewers when reporting and evaluating findings in studies comparing AI to physician performance. The guidance provided here forms an essential addition to current reporting guidelines for healthcare studies using machine learning.

Details

Language :
English
ISSN :
23986352
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Digital Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.660614c683fa4e63bc63249d92a908e6
Document Type :
article
Full Text :
https://doi.org/10.1038/s41746-024-01255-w