Diagnosis of Hypertrophic Cardiomyopathy With Artificial Intelligence-enhanced Electrocardiogram
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 10,000
- 试验地点
- 1
- 主要终点
- Diagnosis of HCM with AI-ECG
研究概览
简要总结
The study aims to establish a diagnostic model of hypertrophic cardiomyopathy with artificial intelligence-enhanced electrocardiogram.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Diagnosed with HCM
排除标准
- •Patients with ventricular pacing
结局指标
主要结局
Diagnosis of HCM with AI-ECG
时间窗: 1 year within the time frame of ECG data collection
First a diagnosis of HCM is made as the standard outcome according to 1) an International Classification of Diseases (ICD) code for HCM (ICD-9425.1, 425.11, 425.18, and ICD10 I42.1, I42.2); 2) reports from the echocardiographers. An AI-ECG algorithm will be used to make a diagnosis of HCM and compared with the standard outcome. The performance of the AI-ECG algorithm will be evaluated with metrics including AU-ROC, specificity, sensitivity and F1 value.
次要结局
未报告次要终点
研究者
Yixiu Liang
Director of Department of Cardiology
Shanghai Zhongshan Hospital