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Multimodal Deep Learning Integrating Electrocardiography and Chest Radiography Enhances Prediction of Incident Regurgitant Valvular Heart Disease

2026-07-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Regurgitant valvular heart disease (rVHD) is a major cause of cardiovascular morbidity. Echocardiography is the diagnostic standard but is resource-intensive for large-scale screening. Electrocardiography (ECG) has shown promise for predicting incident rVHD, yet performance varies across phenotypes, particularly for aortic regurgitation (AR). Chest radiography (CXR) provides...

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Literature Corpus work
839ba8f5-5e6b-5055-9e2e-120300acf041
DOI
10.64898/2026.07.25.26358904
Open publication

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Multimodal Deep Learning Integrating Electrocardiography and Chest Radiography Enhances Prediction of Incident Regurgitant Valvular Heart DiseaseDOI 10.64898/2026.07.25.26358904
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