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

dc.contributor.authorGaube, Susanne
dc.contributor.authorSuresh, Harini
dc.contributor.authorRaue, Martina
dc.contributor.authorLermer, Eva
dc.contributor.authorKoch, Timo K.
dc.contributor.authorHudecek, Matthias
dc.contributor.authorAckery, Alun D.
dc.contributor.authorGrover, Samir C.
dc.contributor.authorCoughlin, Joseph F.
dc.contributor.authorFrey, Dieter
dc.contributor.authorKitamura, Felipe C.
dc.contributor.authorGhassemi, Marzyeh
dc.contributor.authorColak, Errol
dc.date.accessioned2024-10-28T13:36:36Z
dc.date.available2024-10-28T13:36:36Z
dc.date.issued2023
dc.description.abstractArtificial 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.doi10.1038/s41598-023-28633-w
dc.identifier.issn2045-2322
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/47602
dc.language.isoen
dc.publisherNature
dc.relation.ispartofScientific Reports
dc.spatialLondon
dc.subject.ddc150 - Psychologie
dc.subject.ddc610 - Medizin und Gesundheit
dc.subject.ddc004 - Computer Wissenschaften, Internet
dc.titleNon-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume13
dspace.entity.typePublication
fhnw.InventedHereNo
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Angewandte Psychologiede_CH
fhnw.affiliation.institutInstitut für Marktangebote und Konsumentscheidungende_CH
fhnw.openAccessCategoryClosed
fhnw.pagination1383
fhnw.publicationStatePublished
relation.isAuthorOfPublicationc45f6a50-68a6-4080-87df-1b96509e2c24
relation.isAuthorOfPublication.latestForDiscoveryc45f6a50-68a6-4080-87df-1b96509e2c24
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