一种参与式的方法来部署负责任的人工智能用于糖尿病预测和预防
Laura C Rosella1,2,3,4, James Shaw1,5,6,7, Shion Guha8,9
1Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Digital health
|July 14, 2025
概括
在医疗保健中实施人工智能 (AI) 需要参与式方法. 参与利益相关者确保负责任的AI部署,促进对卫生系统的信任和接受度.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 公共卫生创新公共卫生创新
- 应用的人工智能应用的人工智能
背景情况:
- 人工智能 (AI) 在医疗保健研究中表现有前途,但在现实世界卫生系统实施中面临挑战.
- 人工智能在卫生系统中的成功整合需要与合作伙伴,政策制定者和社区的合作.
- 负责任的人工智能部署取决于所有利益相关者的参与,特别是那些受到技术影响的人.
研究的目的:
- 突出参与式方法在卫生系统中对人工智能的负责任实施中的关键作用.
- 讨论计划使用联合设计方法来部署经过验证的机器学习模型.
- 介绍一个用人工智能在卫生系统中用于糖尿病预测和管理的案例.
主要方法:
- 采用参与式方法,涉及政策,提供者和社区利益相关者.
- 让各种各样的参与者共同设计和实施用于糖尿病管理的AI工具.
- 专注于克服卫生保健机构内人工智能部署常见障碍的方法.
主要成果:
- 参与式方法促进了AI糖尿病预测工具的部署和实施.
- 利益相关方的参与有助于人工智能在卫生环境中的有效整合.
- 这些方法有助于解决人工智能部署期间遇到的常见挑战.
结论:
- 参与式方法对于在卫生系统中负责任地实施人工智能至关重要.
- 共同设计和利益相关者参与建立了对人工智能技术的信任,接受度和监督.
- 未来在医疗保健中采用人工智能取决于完善这些实践以实现无集成.
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