Elias Lab

Columbia University Health Sciences

INTERNAL MEDICINE/MEDICINE

New York · United States

NIH-funded
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Research focus

NIH R01 · 2025

Capitalizing on Artificial Intelligence to Capture Undiagnosed Structural Heart Disease from Electrocardiograms (CACTUS)

Structural heart disease (SHD), including valvular heart disease, right or left ventricular dysfunction, and various cardiomyopathies, is a significant cause of cardiovascular morbidity and mortality. Despite the benefits of early treatment, SHD remains underdiagnosed. Transthoracic echocardiography (TTE), a standard diagnostic method, has limited use in population screening and in emergency departments (ED) due to cost and expertise requirements. Patients from disadvantaged backgrounds, often relying on EDs for primary care, are particularly affected. Traditional ECG interpretation fails in accurately detecting SHD, necessitating a novel approach. To address this limitation, we created a…

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