Ethical guidance for reporting and evaluating claims of AI outperforming human doctors
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.
Authors
- Megan Milota (ORCID: https://orcid.org/0000-0002-2144-4175)
- Karin Jongsma (ORCID: https://orcid.org/0000-0001-8135-6786)
- Jojanneke Drogt (ORCID: https://orcid.org/0000-0002-2153-4971)
- Anne van den Brink
Institutions
- University Medical Center Utrecht (NL)
- Altrecht GGZ (NL)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1038/s41746-024-01255-w
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Universitair Medisch Centrum Utrecht