Feasibility of Artificial Intelligence-based Heart Function Prediction Model Using Chest Radiography
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 505
- 试验地点
- 1
- 主要终点
- Left Ventricular Ejection Fraction < 40%
研究概览
简要总结
The investigators will develop an artificial intelligence model to predict left ventricular ejection fraction using chest radiographic images and transthoracic echocardiography data.
详细描述
Echocardiography should be considered at an early stage in patients who have first developed heart failure or who do not have information about heart function, but the examination may be delayed due to lack of time and manpower in the actual medical field.
Primary Objective: Use chest radiographs to predict the left ventricular ejection fraction
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 20 Years 至 90 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adults who are 20 years and older
- •Patient who visited the emergency room or outpatient clinic due to dyspnea and chest pain
排除标准
- •Patient refusal
- •Uncertain radiographs or transthoracic echocardiography
- •Uncertain tests results
结局指标
主要结局
Left Ventricular Ejection Fraction < 40%
时间窗: Within two weeks of chest X-ray
Evaluate the performance of chest X-ray based artificial intelligence algorithms to identify individuals with reduced ejection fraction (\<40%)
次要结局
未报告次要终点