Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope

Xiao-dong Zhuang

Status: Enrolling

Conditions: Valvular Heart Disease

Treatments: Other: artificial intelligence-based stethoscope

Study type: Observational

Funder types: Other

Identifiers

NCT06386016

Stethoscope study

Details and patient eligibility

About

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.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 18 to 100 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. age>18 years
2. In the past 1 month, echocardiography was performed to diagnose valvular heart disease (positive group) and echocardiography to exclude valvular heart disease (negative group).
3. Consent to study and be able to sign informed consent

Exclusion criteria

1. After prosthetic valve replacement
2. Congenital heart disease (except bilobal aortic valve)
3. Hypertrophic Cardiomyopathy（HCM）
4. Pregnant, lactating women

Trial design

2,000 participants in 2 patient groups

patients with valvular heart disease

Treatment:

Other: artificial intelligence-based stethoscope

patients without valvular heart disease

Treatment:

Other: artificial intelligence-based stethoscope