Automatic Diagnosis of ST-segment Elevated Myocardial Infarction by Artificial Intelligence-based Electrocardiographic System:The ALERT-Pilot Study
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram
研究概览
简要总结
the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram was established. The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular was evaluated.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 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
- 否
入选标准
- •age≥18 years old;
- •the admitting doctor's diagnosis is ST-segment Elevation Myocardial Infarction.
排除标准
- •the admitting diagnosis is non-ST-segment Elevation Myocardial Infarction.
- •default data;
- •pregnancy, mental disorder, kidney failure;
- •except for criteria mention above, including some improper condition considered by investigators.
结局指标
主要结局
the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram
时间窗: 24 hours
All the electrocardiograms done before coronary arteriography were read by artificial intelligent. Then according to results of coronary angiogram, artificial intelligent can establish a algorithm of to diagnose myocardial infarction.
The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular
时间窗: 24 hours
The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular was evaluated.
次要结局
未报告次要终点
研究者
Ya-Wei Xu
Professor
Shanghai 10th People's Hospital