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Physician perspectives on integration of artificial intelligence into diagnostic pathology

机译:医师将人工智能整合到诊断病理学中的观点

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摘要

Advancements in computer vision and artificial intelligence (AI) carry the potential to make significant contributions to health care, particularly in diagnostic specialties such as radiology and pathology. The impact of these technologies on physician stakeholders is the subject of significant speculation. There is however a dearth of information regarding the opinions, enthusiasm, and concerns of the pathology community at large. Here, we report results from a survey of 487 pathologist-respondents practicing in 54 countries, conducted to examine perspectives on AI implementation in clinical practice. Despite limitations, including difficulty with quantifying response bias and verifying identity of respondents to this anonymous and voluntary survey, several interesting findings were uncovered. Overall, respondents carried generally positive attitudes towards AI, with nearly 75% reporting interest or excitement in AI as a diagnostic tool to facilitate improvements in workflow efficiency and quality assurance in pathology. Importantly, even within the more optimistic cohort, a significant number of respondents endorsed concerns about AI, including the potential for job displacement and replacement. Overall, around 80% of respondents predicted the introduction of AI technology in the pathology laboratory within the coming decade. Attempts to identify statistically significant demographic characteristics (e.g., age, sex, type/place of practice) predictive of attitudes towards AI using Kolmogorov–Smirnov (KS) testing revealed several associations. Important themes which were commented on by respondents included the need for increasing efforts towards physician training and resolving medical-legal implications prior to the generalized implementation of AI in pathology.
机译:计算机视觉和人工智能(AI)的进步有望为医疗保健做出重要贡献,特别是在放射和病理学等诊断领域。这些技术对医师利益相关者的影响是重大猜测的主题。然而,缺乏有关病理学界的意见,热情和关注的信息。在这里,我们报告了对来自54个国家/地区的487位病理学家-受访者进行的一项调查的结果,该调查旨在检查有关临床实践中AI实施的观点。尽管存在局限性,包括难以量化答复偏见和验证该匿名和自愿调查的受访者身份,但还是发现了一些有趣的发现。总体而言,受访者普遍对AI持积极态度,将近75%的受访者表示对AI作为诊断工具的兴趣或兴奋,以促进改善工作流程效率和病理质量保证。重要的是,即使在更为乐观的人群中,也有相当多的受访者认可了对AI的担忧,包括潜在的工作转移和替换。总体而言,约80%的受访者预测在未来十年内病理实验室将采用AI技术。尝试使用Kolmogorov-Smirnov(KS)测试来确定具有统计学意义的人口统计学特征(例如年龄,性别,工作类型/工作地点)对AI态度的预测,从而揭示了几种关联。受访者评论的重要主题包括在病理学上普遍采用AI之前需要加大力度进行医师培训和解决医学法律问题。

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