NCT05117970已完成不适用
Artificial Intelligence-assisted Diagnosis and Prognostication in Low Ejection Fraction Using Electrocardiograms
National Defense Medical Center, Taiwan2 个研究点 分布在 1 个国家目标入组 13,631 人开始时间: 2021年12月9日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 13,631
- 试验地点
- 2
- 主要终点
- New Diagnosis of Low Ejection Fraction(defined as ejection fraction ≤50%)
研究概览
简要总结
This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Screening
- 盲法
- None
入排标准
- 年龄范围
- 20 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with EF>50% or without Transesophageal Echocardiography (TEE)
排除标准
- •Patients with a history of heart failure or an EF<= 35%.
结局指标
主要结局
New Diagnosis of Low Ejection Fraction(defined as ejection fraction ≤50%)
时间窗: Within 30 days
Ejection fraction obtained by echocardiography
次要结局
- All cause mortality(death)(Within 30 days)
- Completion of an echocardiogram(Within 30 days)
研究者
Chin Lin
Assistant Professor
National Defense Medical Center, Taiwan
研究点 (2)
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