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Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
84
Zitationen
13
Autoren
2023
Jahr
Abstract
Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians' decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic advice and were asked to make a diagnosis, rate the advice's quality, and judge their own confidence. We manipulated whether the advice came with or without a visual annotation on the X-rays, and whether it was labeled as coming from an AI or a human radiologist. Overall, receiving annotated advice from an AI resulted in the highest diagnostic accuracy. Physicians rated the quality of AI advice higher than human advice. We did not find a strong effect of either manipulation on participants' confidence. The magnitude of the effects varied between task experts and non-task experts, with the latter benefiting considerably from correct explainable AI advice. These findings raise important considerations for the deployment of diagnostic advice in healthcare.
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Autoren
Institutionen
- Ludwig-Maximilians-Universität München(DE)
- University Hospital Regensburg(DE)
- LMU Klinikum(DE)
- Massachusetts Institute of Technology(US)
- University of Augsburg(DE)
- Technische Hochschule Augsburg(DE)
- University of Regensburg(DE)
- Unity Health Toronto
- St. Michael's Hospital(CA)
- University of Toronto(CA)
- Universidade Federal de São Paulo(BR)
- Vector Institute(CA)