Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
dc.contributor.author | Gaube, Susanne | |
dc.contributor.author | Suresh, Harini | |
dc.contributor.author | Raue, Martina | |
dc.contributor.author | Lermer, Eva | |
dc.contributor.author | Koch, Timo K. | |
dc.contributor.author | Hudecek, Matthias | |
dc.contributor.author | Ackery, Alun D. | |
dc.contributor.author | Grover, Samir C. | |
dc.contributor.author | Coughlin, Joseph F. | |
dc.contributor.author | Frey, Dieter | |
dc.contributor.author | Kitamura, Felipe C. | |
dc.contributor.author | Ghassemi, Marzyeh | |
dc.contributor.author | Colak, Errol | |
dc.date.accessioned | 2024-10-28T13:36:36Z | |
dc.date.available | 2024-10-28T13:36:36Z | |
dc.date.issued | 2023 | |
dc.description.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. | |
dc.identifier.doi | 10.1038/s41598-023-28633-w | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/47602 | |
dc.language.iso | en | |
dc.publisher | Nature | |
dc.relation.ispartof | Scientific Reports | |
dc.spatial | London | |
dc.subject.ddc | 150 - Psychologie | |
dc.subject.ddc | 610 - Medizin und Gesundheit | |
dc.subject.ddc | 004 - Computer Wissenschaften, Internet | |
dc.title | Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays | |
dc.type | 01A - Beitrag in wissenschaftlicher Zeitschrift | |
dc.volume | 13 | |
dspace.entity.type | Publication | |
fhnw.InventedHere | No | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Angewandte Psychologie | de_CH |
fhnw.affiliation.institut | Institut für Marktangebote und Konsumentscheidungen | de_CH |
fhnw.openAccessCategory | Closed | |
fhnw.pagination | 1383 | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | c45f6a50-68a6-4080-87df-1b96509e2c24 | |
relation.isAuthorOfPublication.latestForDiscovery | c45f6a50-68a6-4080-87df-1b96509e2c24 |
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