人工智能与健康 公平 公平
Tiffani J Bright1, Keith C Norris2
11Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Annual review of medicine
|October 20, 2025
概括
人工智能 (AI) 可以改善健康,但可能会加剧少数群体的差异. 公平健康人工智能策略涉及应用公平镜头和社区参与,以确保人工智能有利于所有人群.
科学领域:
- 生物医学研究的研究.
- 公共卫生 公共卫生
- 临床护理 临床护理
背景情况:
- 人工智能 (AI) 通过分析复杂的健康数据,为改善健康结果和推进健康公平提供了巨大的潜力.
- 人们担心人工智能可能会加剧现有的健康差距,特别是在种族和少数民族,残疾人和低收入人群中.
- 在人工智能开发中使用的偏见或不完整的数据可能导致不公平的健康结果.
研究的目的:
- 突出开发和实施公平健康AI的战略.
- 确保人工智能技术提高所有人群的健康结果,特别是服务不足的群体.
主要方法:
- 审查当前文献和公平健康的战略AI.
- 强调在整个人工智能生命周期中应用公平性镜头.
- 强调有意义的社区参与的重要性.
主要成果:
- 公平的健康人工智能需要采取主动措施来缓解偏见并确保公平.
- 从数据收集到部署,整合一个股权镜头至关重要.
- 社区参与对于开发满足各种需求的AI解决方案至关重要.
结论:
- 人工智能有可能彻底改变医疗保健,但仔细考虑公平性至关重要.
- 实施特定策略可以帮助防止人工智能加剧健康差距.
- 涉及受影响社区的协作努力是实现公平健康AI的关键.
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