Automatic Diagnosis of Left Valvular Heart Disease Based on Artificial Intelligence Stethoscope.

ABSTRACT:

Background

Valvular heart disease (VHD) remains underdiagnosed and results in serious complications. Early screening for VHD facilitates enhanced clinical management.

Objectives

This study aim to develop an artificial intelligence-based stethoscope model for detecting left-sided VHD, including aortic stenosis, aortic regurgitation, mitral stenosis, and mitral regurgitation.

Methods

Using an electronic stethoscope, we recorded heart sounds from derivation group to construct a machine learning algorithm. Then, the algorithm was tested on a testing group. Echocardiography was referred as the gold standard. Model performance was assessed using area under the receiver-operating characteristic (AU-ROC).

Results

A total of 514 patients were included in the final analy

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC12717554 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature