为了"公平"地将人工智能和机器学习纳入我们的医疗保健系统
1Center for Digital Health and Artificial Intelligence, Johns Hopkins University.
North Carolina medical journal
|October 28, 2024
概括
医疗保健中的人工智能 (AI) 和机器学习 (ML) 是有前途的,但需要仔细监督. 必须解决五个关键的公平要求,以防止对健康公平目标产生不利影响.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 健康 公平 卫生 公平
背景情况:
- 人工智能和机器学习为医疗保健提供了变革性的潜力.
- 然而,它们的实施可能会无意中加剧现有的健康差异.
- 积极的措施对于确保公平的结果至关重要.
研究的目的:
- 确定AI和ML在医疗保健中的道德部署的关键考虑因素.
- 概述可行的策略,以维护和推进健康公平.
- 引导医疗保健专业人员,开发人员和决策者在负责任的AI/ML采用.
主要方法:
- 文献综述和对医疗保健中的AI/ML当前研究的综合.
- 对健康公平的潜在影响的分析.
- 基于已确定的股权要求的框架的开发.
主要成果:
- 已经确定了医疗保健中AI/ML的五个关键公平要求.
- 这些要求涉及潜在的偏见,访问,透明度和问责制.
- 如果不解决这些问题,可能会对弱势群体产生负面影响.
结论:
- 在医疗保健中整合AI/ML需要强烈关注健康公平.
- 涉及临床医生,开发人员和政策制定者的多方利益相关者方法至关重要.
- 实施概述的公平要求将促进负责任的创新,并减轻对健康公平的风险.
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