NCT06386016招募中不适用
Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope
Xiao-dong Zhuang1 个研究点 分布在 1 个国家目标入组 2,000 人开始时间: 2024年5月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- valvular heart disease
研究概览
简要总结
The aim of this study is to develop a deep learning-based application of heart sounds in the diagnosis of valvular heart disease, which can be used to screen patients with valvular heart disease and promote earlier clinical monitoring and intervention.
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
- 18 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •age>18 years
- •In the past 1 month, echocardiography was performed to diagnose valvular heart disease (positive group) and echocardiography to exclude valvular heart disease (negative group).
- •Consent to study and be able to sign informed consent
排除标准
- •After prosthetic valve replacement
- •Congenital heart disease (except bilobal aortic valve)
- •Hypertrophic Cardiomyopathy（HCM）
- •Pregnant, lactating women
结局指标
主要结局
valvular heart disease
时间窗: 10 months
Reports therefore graded VHD as none, mild, moderate, severe, or critical, with additional borderline categories (eg, moderate to severe) also allowed
次要结局
未报告次要终点
研究者
Xiao-dong Zhuang
Dr
Sun Yat-sen University
研究点 (1)
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