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

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.

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