论文标题

信任和医疗AI:我们面临的挑战以及克服它们所需的专业知识

Trust and Medical AI: The challenges we face and the expertise needed to overcome them

论文作者

Quinn, Thomas P., Senadeera, Manisha, Jacobs, Stephan, Coghlan, Simon, Le, Vuong

论文摘要

人工智能(AI)越来越对医学领域产生极大的兴趣。但是,医学AI的失败可能会对临床结果和患者经历产生严重的影响。这些后果可能会侵蚀公众对AI的信任,这反过来又可能破坏对我们的医疗机构的信任。本文做出了两个贡献。首先,它描述了医学AI中主要的概念,技术和人文主义挑战。其次,它提出了一种解决方案,该解决方案取决于专门从事医学AI技术开发,验证和运营的新专家团体的教育和认证。这些团体将被要求保持对我们的医疗机构的信任。

Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. However, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public trust in AI, which could in turn undermine trust in our healthcare institutions. This article makes two contributions. First, it describes the major conceptual, technical, and humanistic challenges in medical AI. Second, it proposes a solution that hinges on the education and accreditation of new expert groups who specialize in the development, verification, and operation of medical AI technologies. These groups will be required to maintain trust in our healthcare institutions.

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