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将人工智能整合到病理学中:对用户体验和期望的定性访谈研究。

Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations.

机构信息

Department of Medical Humanities, University Medical Center, Utrecht, The Netherlands.

Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.

出版信息

Mod Pathol. 2022 Nov;35(11):1540-1550. doi: 10.1038/s41379-022-01123-6. Epub 2022 Aug 4.

DOI:10.1038/s41379-022-01123-6
PMID:35927490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9596368/
Abstract

Recent progress in the development of artificial intelligence (AI) has sparked enthusiasm for its potential use in pathology. As pathology labs are currently starting to shift their focus towards AI implementation, a better understanding how AI tools can be optimally aligned with the medical and social context of pathology daily practice is urgently needed. Strikingly, studies often fail to mention the ways in which AI tools should be integrated in the decision-making processes of pathologists, nor do they address how this can be achieved in an ethically sound way. Moreover, the perspectives of pathologists and other professionals within pathology concerning the integration of AI within pathology remains an underreported topic. This article aims to fill this gap in the literature and presents the first in-depth interview study in which professionals' perspectives on the possibilities, conditions and prerequisites of AI integration in pathology are explicated. The results of this study have led to the formulation of three concrete recommendations to support AI integration, namely: (1) foster a pragmatic attitude toward AI development, (2) provide task-sensitive information and training to health care professionals working in pathology departments and (3) take time to reflect upon users' changing roles and responsibilities.

摘要

近年来,人工智能(AI)的发展取得了显著进展,这引发了人们对其在病理学中应用的极大兴趣。由于病理实验室目前开始将重点转向 AI 的实施,因此迫切需要更好地了解如何使 AI 工具与病理学日常实践的医疗和社会背景最佳匹配。引人注目的是,研究往往没有提到如何将 AI 工具整合到病理学家的决策过程中,也没有解决如何以合乎道德的方式实现这一目标。此外,病理学家和病理科其他专业人员对将 AI 整合到病理学中的观点仍然是一个报道不足的话题。本文旨在填补这一文献空白,并呈现了第一项深入的访谈研究,其中阐述了专业人员对 AI 整合到病理学中的可能性、条件和前提的看法。这项研究的结果导致提出了三项具体建议以支持 AI 整合,即:(1)培养对 AI 开发的务实态度,(2)为病理科工作的医疗保健专业人员提供任务敏感的信息和培训,以及(3)花时间反思用户不断变化的角色和责任。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/909f/9596368/52658a9cac91/41379_2022_1123_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/909f/9596368/d07122c7b586/41379_2022_1123_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/909f/9596368/52658a9cac91/41379_2022_1123_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/909f/9596368/d07122c7b586/41379_2022_1123_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/909f/9596368/52658a9cac91/41379_2022_1123_Fig2_HTML.jpg

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