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Updated: May 15, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

多方合作,让多种人群参与以社区为中心的人工智能研究

Anna Devon-Sand¹, Rory Sayres², Yun Liu²

¹Stanford School of Medicine, Stanford, CA.

Mayo Clinic proceedings. Digital health

|April 10, 2025

概括

一个以社区为中心的项目,涉及多元化的东圣何塞居民,评估了一种人工智能 (AI) 驱动的皮肤病工具. 社区组织,研究人员和技术开发人员之间的合作改善了人工智能健康技术的可用性和可访问性.

科学领域:

医疗信息学医疗信息学
医疗保健中的人工智能
社区参与的研究

背景情况:

人工智能 (AI) 提供了改善健康信息获取的潜力.
了解各种用户交互对于优化AI健康工具至关重要.
跨部门合作是公平的人工智能健康技术发展的关键.

研究的目的:

测试基于人工智能的医疗技术的跨部门研究模型.
评估AI皮肤病工具在多元化社区中的可用性和可接受性.
收集用户反,并确定社区对人工智能健康创新的需求.

主要方法:

一个以社区为中心的项目,涉及斯坦福医学,谷歌和圣克拉拉家庭健康计划.
从加利福尼亚州东圣何塞的社区活动中招募参与者.
代反过程以确定技术,语言和隐私需求.

主要成果:

成功吸引了多元化的参与者群体,超过70%的人喜欢使用除英语以外的语言.
确定了社区的关键需求,包括对技术,语言和隐私的支持.
展示了学术界,工业界和社区利益相关者之间合作的可行模式.

结论:

跨部门的合作对于开发包容性和有效的AI健康技术至关重要.
以社区为中心的方法对于解决人工智能医疗保健中的各种用户需求至关重要.
从这种案例研究中得出的教训可以指导未来的人工智能健康创新伙伴关系.

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