Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope

Xiao-dong Zhuang1 site in 1 country2,000 target enrollmentMay 1, 2024

ConditionsValvular Heart Disease

Overview

Phase: Not Applicable
Intervention: Not specified
Conditions: Valvular Heart Disease
Sponsor: Xiao-dong Zhuang
Enrollment: 2000
Locations: 1
Primary Endpoint: valvular heart disease
Status: Recruiting
Last Updated: 2 years ago

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

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.

Registry

clinicaltrials.gov

Start Date

May 1, 2024

End Date

September 1, 2024

Last Updated

2 years ago

Study Type

Observational

Sex

All

Investigators

Sponsor

Xiao-dong Zhuang

Responsible Party

Sponsor Investigator

Principal Investigator

Xiao-dong Zhuang

Sun Yat-sen University

Eligibility Criteria

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

Outcomes

Primary Outcomes

valvular heart disease

Time Frame: 10 months

Reports therefore graded VHD as none, mild, moderate, severe, or critical, with additional borderline categories (eg, moderate to severe) also allowed