Scientific Reports (Jan 2023)

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

  • Susanne Gaube,
  • Harini Suresh,
  • Martina Raue,
  • Eva Lermer,
  • Timo K. Koch,
  • Matthias F. C. Hudecek,
  • Alun D. Ackery,
  • Samir C. Grover,
  • Joseph F. Coughlin,
  • Dieter Frey,
  • Felipe C. Kitamura,
  • Marzyeh Ghassemi,
  • Errol Colak

DOI
https://doi.org/10.1038/s41598-023-28633-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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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.