人工智能增强的NHS将依赖临床指南,但如果证据不公平呢?
Alice Witt1, Rachel Hulme1, Owen Wilkinson2
1The George Institute for Global Health UK, London, England, UK.
BMJ public health
|January 21, 2026
概括
英国的人工智能 (AI)
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:
- 英国的10年健康计划优先考虑使用人工智能 (AI) 的数字化,数据驱动的医疗保健系统.
- 人工智能预计将对在国家卫生服务 (NHS) 中实现个性化医疗目标至关重要.
研究的目的:
- 检查国家卫生和护理卓越研究所 (NICE) 临床指南中对性别和性别的考虑.
- 评估这些指南对人工智能模型培训和NHS患者安全的潜在影响.
主要方法:
- 分析现有的国家卫生和护理卓越研究所 (NICE) 临床指南.
- 关于人工智能偏见及其对医疗保健的影响的文献综述.
主要成果:
- 最近的一项研究显示,NICE临床指南中对性别和性别差异的关注不足.
- 这些指南是NHS使用的人工智能模型培训的基础,表明潜在的偏差放大.
结论:
- 在临床指南中不充分考虑性别和性别对AI模型公平性构成风险.
- 在不公平的数据上训练有素的偏见AI模型可能对英国医疗保健系统的患者安全产生不利影响.
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