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非专业医师在查看 X 光片时受益于可解释 AI 的正确建议。

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

机构信息

LMU Center for Leadership and People Management, Department of Psychology, LMU Munich, Munich, Germany.

Department of Infection Prevention and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany.

出版信息

Sci Rep. 2023 Jan 25;13(1):1383. doi: 10.1038/s41598-023-28633-w.

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.

摘要

人工智能(AI)生成的临床建议在医疗保健领域越来越普遍。然而,AI 生成的建议对医生决策的影响还未得到充分探索。在这项研究中,医生们收到了带有正确诊断建议的 X 光片,并被要求做出诊断、评估建议的质量,并判断自己的信心。我们操纵了建议是否带有或不带有 X 光片上的视觉注释,以及它是否被标记为来自 AI 或人类放射科医生。总的来说,收到来自 AI 的带注释的建议会导致最高的诊断准确性。医生们对 AI 建议的质量评价高于对人类建议的评价。我们没有发现任何一种操纵对参与者信心的强烈影响。这些影响的大小在任务专家和非任务专家之间有所不同,后者从正确的可解释 AI 建议中获益匪浅。这些发现为医疗保健中诊断建议的部署提出了重要的考虑因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dcb/9876883/08b383599993/41598_2023_28633_Fig1_HTML.jpg

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