一个基于信任的框架,用于医疗AI的发展
Lena Christine Zuchowski1, Matthias Lukas Zuchowski2,3, Eckhard Nagel4
1University of Bristol, Department of Philosophy, Cotham House, Bristol, BS6 6JL, UK.
NPJ digital medicine
|August 27, 2024
概括
本研究介绍了医疗AI的法律,社会和监管框架,重点是保持患者和医疗保健专业人员之间的信任,以增强AI依赖和治疗结果.
科学领域:
- 医学AI 伦理学 医学AI 伦理学
- 医疗信息学 医疗信息学
- 监管科学 监管科学
背景情况:
- 信任对于患者与医生的关系至关重要,影响治疗的成功和满意度.
- 现有的医疗人工智能缺乏一个强大的信任和依赖的框架.
- 需要一个整合法律,社会和监管方面的系统来建立信任.
研究的目的:
- 为医疗人工智能制定新的法律,社会和监管框架.
- 确保患者,医疗专业人员和人工智能之间保持和培养信任.
- 创建一个框架,促进所有利益相关者对医疗人工智能的依赖.
主要方法:
- 为人工智能包围框架开发了八个核心组件.
- 专注于信任三角形:患者,医疗专业人员和人工智能.
- 在整个系统开发生命周期中证明了组件的实施.
主要成果:
- 该框架包括八个不同的组件,旨在支持信任和依赖.
- 成功的整合需要患者和医疗专业人员的早期和持续参与.
- 拟议的框架需要人工智能初创公司,临床医生和患者之间的合作.
结论:
- 基于信任的框架对于成功采用医疗人工智能至关重要.
- 该框架的组件必须在整个AI开发生命周期中集成.
- 人工智能开发人员,医疗专业人员和患者之间的合作对于值得信赖的医疗人工智能至关重要.
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