Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06386016

Enrollment

2000

Registered

2024-04-26

Start date

2024-05-01

Completion date

2024-09-01

Last updated

2024-04-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Valvular Heart Disease

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.

Interventions

OTHERartificial intelligence-based stethoscope

artificial intelligence-based stethoscope

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 100 Years

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

Design outcomes

Primary

Measure	Time frame	Description
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

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026