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.

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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

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article

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

Megan Milota, Karin Jongsma, Jojanneke Drogt, Anne van den Brink
10 citations
npj Digital Medicine
Artificial Intelligence in Healthcare and Education
1.20
article

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

Megan Milota, Karin Jongsma, Jojanneke Drogt, Anne van den Brink
article en
10 citations

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.

npj Digital MedicineVol. 7(1)
University Medical Center Utrecht (NL), Altrecht GGZ (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Universitair Medisch Centrum Utrecht
Gender equality
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
1.20
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