Risks of automation in medicine - a review article for the obstetrics case
Joris Fournel1, Aasa Feragen1, Martin Tolsgaard2
1Department of Applied Mathematics and Computer Science, Visual Computing - Technical University of Denmark (DTU), Denmark.
None:
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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