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Updated: Feb 2, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
在英国,使用人工智能支持的耳语镜 (TRICORDER) 进行三重心血管疾病检测:一个集群随机对照实施试验
Mihir A Kelshiker1, Patrik Bächtiger1, Camille F Petri2
1National Heart and Lung Institute, Imperial College London, London, UK; Imperial College Healthcare NHS Trust, London, UK.
人工智能 (AI) 语听镜在初级保健中没有增加心力衰竭检测. 然而,人工智能听力镜的使用与心力衰竭,心房动和膜心脏病的检测率更高有关.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 初级保健创新初级保健的创新
背景情况:
- 检测心血管疾病 (CVD) 是全球卫生优先事项.
- 人工智能耳机显着有望检测心力衰竭,心房动和VHD在护理点.
- 人工智能造影镜的实际有效性和实施挑战需要进行调查.
研究的目的:
- 评估人工智能耳机对初级保健中心力衰竭检测的现实效应.
- 评估对社区和医院诊断的影响.
- 识别人工智能 - 语音仪技术的实施障碍和推动因素.
主要方法:
- 一个务实的,集群随机的受控实施试验,涉及英国初级保健实践.
- 实践被随机分为人工智能耳机干预或常规护理.
- 人工智能听力镜记录了心电图和心电图信号,由人工智能算法分析心力衰竭,AF和VHD检测.
主要成果:
- 在人工智能耳语仪和对照组之间,心力衰竭检测率没有显著差异 (IRR 0.94).
- 基于社区或基于医院的心力衰竭诊断没有差异.
- 人工智能听力镜的使用与心力衰竭,心房动和VHD的检测率显著增加有关.
结论:
- 在初级保健中使用人工智能语音仪的实施在12个月后没有增加整体心力衰竭检测率.
- 人工智能听力镜的使用证明了与心力衰竭,AF和VHD的检测增加的独立关联.
- 该试验提供了一个实用设计,用于生成关于医疗保健创新实施的真实数据.
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