人工智能在医疗保健中的翻译:迫切需要基于证据的政策框架
Chukwuebuka Anyaegbuna1, Natasha Steele2, April Shichu Liang2
1School of Medicine, Stanford University School of Medicine, Stanford, California, USA gozirim@gmail.com.
BMJ health & care informatics
|February 18, 2026
概括
医疗保健中的人工智能 (AI) 翻译工具正在迅速扩大,但缺乏监管. 需要一个新的框架来确保所有语言的患者安全和公平,专注于理解而不是纯粹的准确性.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 健康 公平 卫生 公平
背景情况:
- 医生越来越多地采用人工智能 (AI) 翻译工具.
- 现有的监管框架无法充分解决这些工具的快速部署问题.
- 人工智能跨语言翻译工具的性能变化对患者安全构成风险,并加剧了健康不平等.
研究的目的:
- 检查医疗保健中人工智能翻译工具的当前监管环境.
- 在不同语言的AI翻译中记录性能差异.
- 倡导一个以证据为基础的政策框架,优先考虑患者的理解.
主要方法:
- 对人工智能翻译工具的当前监管框架的分析.
- 记录了资源丰富和代表性不足的语言之间的表现差异.
- 建议采用风险分层验证方法,采用不同的途径 (简化和标准).
主要成果:
- 医生正在大量采用人工智能翻译工具.
- 存在业绩差异,特别是影响数字化表现不足的语言.
- 目前存在着政策真空,危及患者安全和健康公平.
结论:
- 对于医疗保健中的人工智能翻译工具,需要一个紧急的,基于证据的政策框架.
- 拟议的框架强调患者的理解,并包括风险分层验证.
- 监督机构 (HHS/FDA) 应授权部署前验证和市场后监测,以防止两级护理系统.
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