RecruitingNCT06386016
Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope
Sponsor
Xiao-dong Zhuang
Enrollment
2,000 participants
Start Date
May 1, 2024
Study Type
OBSERVATIONAL
Conditions
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.
Eligibility
Min Age: 18 YearsMax Age: 100 Years
Inclusion Criteria3
- 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 Criteria4
- After prosthetic valve replacement
- Congenital heart disease (except bilobal aortic valve)
- Hypertrophic Cardiomyopathy（HCM）
- Pregnant, lactating women
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Interventions
OTHERartificial intelligence-based stethoscope
artificial intelligence-based stethoscope
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06386016
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