Unknown

Dataset Information

0

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


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.

SUBMITTER: Gaube S 

PROVIDER: S-EPMC9876883 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications


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  ...[more]

Similar Datasets

| S-EPMC11681242 | biostudies-literature
| S-EPMC9931350 | biostudies-literature
| S-EPMC10284861 | biostudies-literature
| S-EPMC4686924 | biostudies-literature
| S-EPMC3504100 | biostudies-literature
| S-EPMC10033697 | biostudies-literature
| S-EPMC11391805 | biostudies-literature
| S-EPMC10500028 | biostudies-literature
| S-EPMC11651983 | biostudies-literature
| S-EPMC10116151 | biostudies-literature