Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope
Recruiting
- Conditions
- Valvular Heart Disease
- Interventions
- Other: artificial intelligence-based stethoscope
- Registration Number
- NCT06386016
- Lead Sponsor
- Xiao-dong Zhuang
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 2000
Inclusion Criteria
- 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
Exclusion Criteria
- After prosthetic valve replacement
- Congenital heart disease (except bilobal aortic valve)
- Hypertrophic Cardiomyopathy（HCM）
- Pregnant, lactating women
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description patients with valvular heart disease artificial intelligence-based stethoscope - patients without valvular heart disease artificial intelligence-based stethoscope -
- Primary Outcome Measures
Name Time Method valvular heart disease 10 months Reports therefore graded VHD as none, mild, moderate, severe, or critical, with additional borderline categories (eg, moderate to severe) also allowed
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
First Affiliated Hospital, Sun Yat-Sen University
🇨🇳Guangzhou, Guangdong, China