基于人工智能的慢性心力衰竭远程监测:SMART-CARE研究的设计和理由
Michele Ciccarelli1, Alessia Bramanti1, Albino Carrizzo1,2
1Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Frontiers in digital health
|December 26, 2025
概括
该SMART-CARE研究使用人工智能驱动的可穿戴设备进行远程监控,以减少慢性心力衰竭 (CHF) 患者的住院治疗. 这项技术旨在通过早期检测临床恶化来改善患者的治疗结果和生活质量.
科学领域:
- 心脏病学 心脏病学
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 慢性心力衰竭 (CHF) 导致频繁住院和降低生活质量.
- 早期检测CHF患者的临床恶化仍然是一个挑战,尽管治疗方面取得了进展.
研究的目的:
- 调查使用CE认证可穿戴设备的AI支持远程监控是否可以减少CHF患者的住院治疗.
- 评估人工智能驱动的远程监控对患者生活质量和临床结果的影响.
主要方法:
- 一项前性,多中心的观察性研究,招募了300名成年CHF患者.
- 干预组使用多模式可穿戴设备 (手腕,胸部) 六个月;对照组接受标准护理.
- 通过人工智能算法分析的持续生理数据收集用于早期干预警报.
主要成果:
- 主要终点是六个月内住院患者减少≥20%.
- 二次结果包括改善生活质量,生物标志物和心声回声指数.
- 假设与标准护理相比,住院病例显著减少,患者参数有所改善.
结论:
- 这项SMART-CARE研究评估了人工智能集成的可穿戴设备对心血管疾病管理的临床实用性.
- 这种方法可能能够更早地检测脱补偿,并优化资源利用.
- 成功实施可以通过可扩展的远程监控来改变慢性疾病管理.
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