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Risks of automation in medicine-a review article for the obstetrics case

Joris Fournel, Aasa Feragen, Martin Tolsgaard

Abstract

The current overoptimism surrounding AI threatens to disrupt clinical environments. We discuss the risks related to invasive automation and describe how AI performance exaggeration may lead to clinical errors. We also investigate cognitive damage to clinicians: automation bias and de-skilling, by exploring their relation to well-defined psychological principles. Finally, we propose solutions for automation that actually benefit medicine: generalise model bias assessments and quality control, and ensure that AI integration does not erode clinicians' clinical expertise.

OriginalsprogEngelsk
ArtikelnummerA10250852
TidsskriftDanish Medical Journal
Vol/bind73
Udgave nummer4
ISSN1603-9629
DOI
StatusUdgivet - apr. 2026

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