Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-05-01

Study Completion Date

2024-09-01

Brief Summary

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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.

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Detailed Description

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Conditions

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Valvular Heart Disease

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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patients with valvular heart disease

artificial intelligence-based stethoscope

Intervention Type OTHER

artificial intelligence-based stethoscope

patients without valvular heart disease

artificial intelligence-based stethoscope

Intervention Type OTHER

artificial intelligence-based stethoscope

Interventions

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artificial intelligence-based stethoscope

Intervention Type OTHER

Eligibility Criteria

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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

Minimum Eligible Age

18 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No