关于医疗保健人工智能的伦理学的不断发展的文献:PRISMA范围审查
Yufei Wang1, Alex Federman2, Heather Wurtz3
1Department of Health Policy and Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, United States.
Frontiers in digital health
|December 8, 2025
概括
这次对医疗保健中人工智能 (AI) 伦理的审查发现,虽然偏见和透明度经常被讨论,但患者披露和法律责任等关键问题被研究不足. 未来的研究应该解决这些差距,以实现负责任的AI实施.
科学领域:
- 医学伦理 医学伦理
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在医疗保健中的整合引发了复杂的伦理考虑.
- 了解人工智能伦理研究的趋势对于负责任的开发和部署至关重要.
- 现有文献需要系统审查,以确定研究缺口.
研究的目的:
- 分析有关医疗保健中人工智能工具伦理学的文献.
- 识别不同人群的伦理问题趋势.
- 绘制2020年至2024年间发表的研究中的转变.
主要方法:
- 在PubMed和Web of Science中使用结构化搜索进行了PRISMA范围审查.
- 数据从309个纳入的来源中提取,使用Qualtrics问卷.
- 使用R版本4.3.1.1.进行描述性统计分析.
主要成果:
- 常见的伦理问题包括偏见,透明度,正义,问责制,隐私/保密性和自治.
- 人工智能产生的结果向患者披露的情况很少被提及,随着时间的推移没有明确的趋势.
- 虽然法律和政策问题普遍下降,但关于法律责任,患者和临床医生接受度的讨论有所增加,尽管这些仍然很少发生.
结论:
- 关于向患者披露人工智能结果,法律责任和患者/临床医生的可接受性,存在重大研究差距.
- 未来的研究必须优先考虑这些未被解决的伦理问题.
- 专注于这些差距将促进人工智能在医疗保健中的负责任和适当实施.
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