分布精确性中风护理:使用多式传感器数据的人工智能驱动的中风管理
Aline F Pedroso1,2, Lee H Schwamm3,4, Rohan Khera1,2,3,5,6
1Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven. (A.F.P., R.K.).
Stroke
|October 22, 2025
概括
消费者健康技术中的人工智能 (AI) 可以改善中风护理. 由人工智能驱动的设备提供了预防,检测和管理中风的新方法,提高了患者的治疗结果和可访问性.
科学领域:
- 神经学 神经学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 脑卒中诊断的延迟和进入障碍阻碍了有效的风险因素管理,早期检测和中风后康复.
- 现有的医疗保健模式在整个患者旅程中提供持续的,个性化的中风护理方面面临挑战.
研究的目的:
- 审查人工智能 (AI) 驱动的消费者健康技术在改变中风预防,检测和康复中的作用.
- 检查智能手表,智能手机和环境传感器等设备如何促进精确的中风护理.
主要方法:
- 关于人工智能在中风护理技术中的应用现有文献的综述.
- 分析支持人工智能的设备,包括可穿戴设备和家庭系统.
- 检查AI在风险因素监测,早期检测和远程康复中的作用.
主要成果:
- 人工智能工具可用于预防中风风险因素的可扩展监测.
- 分析传感器数据的AI算法可以帮助早期检测和分类神经障碍.
- 人工智能增强的远程监控和虚拟监督提供可扩展的,个性化的中风后康复模型.
结论:
- 人工智能驱动的消费者健康技术代表了中风护理的范式转变.
- 这些创新有望为中风预防和管理提供更容易获得,个性化和数据驱动的方法.
- 虽然许多人工智能创新处于早期发展阶段,但它们具有很大的潜力,可以解决中风护理连续性的当前差距.
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