人工智能语音分析的伦理考虑:新兴生物伦理学文献的特点
Michele D Anzabi1, Austin M Stroud1, Richard R Sharp1
1Department of Quantitative Health Sciences, Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA.
AJOB empirical bioethics
|March 7, 2026
概括
医疗保健中的语音分析提供了好处,但也引发了伦理方面的担忧. 需要进一步的研究,以了解利益相关者的观点,以成功采用这些人工智能驱动的临床工具.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 生物伦理学生物伦理学
背景情况:
- 语音分析正在成为健康状况的数字生物标志物.
- 医疗机构正在探索语音技术,以改善患者的治疗结果和效率.
- 伦理考虑对于在临床环境中负责任地实施语音分析至关重要.
研究的目的:
- 在临床应用中审查人工智能 (AI) 支持语音分析的伦理问题上的文献.
- 为人工智能伦理学家,顾问和教师提供关于临床语音分析伦理景观的信息.
主要方法:
- 对2010年至2023年间发表的研究的文献综述.
- 搜索了包括PubMed,科学网,Scopus,OVID Embase和谷歌学者在内的数据库.
- 评估了1871篇文章,其中48篇包含在最终审查中,重点关注道德方面.
主要成果:
- 临床应用包括肺部/神经疾病的诊断,心理健康查,决策支持和远程监测.
- 确定了关键的伦理主题:设计,验证,数据隐私,健康公平,信任,透明度,问责制,患者与提供者关系和政策.
- 伦理设计和验证,数据隐私,健康公平和信任是主要问题.
结论:
- 进一步的研究是必要的,以了解利益相关者的观点,以成功地采用语音分析技术在医疗保健.
- 制定政策和最佳实践需要全面了解道德挑战和用户观点.
- 将伦理考虑纳入人工智能驱动的语音分析的开发和部署对于医疗保健创新至关重要.
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