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Ethical guidance for reporting and evaluating claims of AI outperforming human doctors
- 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.
- Subjects :
- Computer applications to medicine. Medical informatics
R858-859.7
Subjects
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