Article

Detection of Left Ventricular Outflow Obstruction from Standard B-Mode Echocardiogram Videos using Deep Learning

2025-03-05

Abstract excerpt

<h4>Introduction</h4> Hypertrophic cardiomyopathy (HCM) affects 20 million individuals globally, with increased risk of sudden death and heart failure. While cardiac myosin inhibitors show great promise as disease-specific treatment, current indications are for obstructive HCM. Obstruction is not always well characterized by echocardiography, and artificial intelligence (AI) might assist in the improving the under...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 088dcc09-5498-5335-b2a5-613fde91f946
DOI: 10.1101/2025.03.02.25323199

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Detection of Left Ventricular Outflow Obstruction from Standard B-Mode Echocardiogram Videos using Deep LearningDOI 10.1101/2025.03.02.25323199Read

Single View Echocardiographic Analysis for LVOT Obstruction Prediction in Hypertrophic Cardiomyopathy: A Deep Learning ApproachSemantic proximity Read

Beyond Doppler: Scalable AI Detection of LVOT Obstruction in HCMSemantic proximity Read

A Deep Learning-Based Single-View Echocardiographic Analysis for Prediction of Left Ventricular Outflow Tract Obstruction After Transcatheter Aortic Valve ReplacementSemantic proximity Read

Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center studySemantic proximity Read

Automated Phenotyping of Mitral Stenosis Using Deep LearningSemantic proximity Read

Development and multi-dataset evaluation of a unified single-view deep-learning model for the right heart: four-chamber segmentation, biventricular ejection fraction, deformation, and pulmonary-hypertension prediction from the apical four-chamber echocardiogramSemantic proximity Read

Automated Echocardiographic Detection of Mitral Valve Prolapse and Mitral Regurgitation with Video-based Artificial Intelligence AlgorithmsSemantic proximity Read

Automated Aortic Regurgitation Detection and Quantification: A Deep Learning Approach Using Multi-View EchocardiographySemantic proximity Read

Deep Learning-Based Multi-View Echocardiographic Framework for Comprehensive Diagnosis of Pericardial DiseaseSemantic proximity Read

Deep Learning Phenotyping of Tricuspid Regurgitation for Automated High Throughput Assessment of Transthoracic EchocardiographySemantic proximity Read

Deep Learning Interpretation of EchocardiogramsSemantic proximity Read

Artificial Intelligence-Enabled Electrocardiogram for Elevated Left Ventricular Filling PressureSemantic proximity Read