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The PREVUE-VALVE Study demonstrates that AI-ECG models developed in hospital settings show reduced diagnostic accuracy when applied to community populations with lower disease prevalence and milder structural heart disease, underscoring the
In Kenyan outpatient clinics, an AI-enabled ECG algorithm showed strong discrimination for left ventricular systolic dysfunction, with 95.6% sensitivity and 99.1% negative predictive value against echocardiography.
An international study developed AI-ECG models that diagnose and predict future moderate–severe mitral, tricuspid, and aortic regurgitation, validated across distinct populations and linked to subclinical chamber remodelling.