监管科学为人工智能做好准备了吗？

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-04-10 DOI:10.1038/s41746-025-01596-0

Thomas Hartung, Maurice Whelan, Weida Tong, Robert M. Califf

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引用次数: 0

摘要

信任是人工智能监管科学的关键，但其定义存在争议。如果人工智能模型使用不同的特征，但表现相似，那么应该信任哪一个？如果科学理论必须是可检验的，那么可解释性有多重要？在全球监管科学峰会（GSRS24）上，监管机构一致认为，成功采用人工智能需要持续的对话、适应性和人工智能培训人员，以在不断变化的21世纪环境中利用其监管责任的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Is regulatory science ready for artificial intelligence?

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Is regulatory science ready for artificial intelligence?

Trust is key in AI for regulatory science, but its definition is debated. If AI models use different features yet perform similarly, which should be trusted? If scientific theories must be testable, how critical is explainability? At the Global Summit on Regulatory Science (GSRS24), regulators agreed that successful AI adoption requires ongoing dialogue, adaptability, and AI-trained personnel to harness its potential for regulatory responsibilities in the evolving 21st-century landscape.

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.