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AI-ECG Models for Heart Failure Screening Show High Accuracy in First-of-its-Kind Independent Comparison Study

This independent validation study confirms that AI-enhanced ECG models effectively detect left ventricular systolic dysfunction across diverse populations, achieving AUROCs up to 0.93. However, significant barriers remain regarding model tr

Jan 26, 2026
Superintelligence

Harnessing Artificial Intelligence for Enhanced Prediction of Complete Heart Block Risk via Electrocardiography

AIRE-CHB, a novel AI-enhanced ECG model, significantly improves prediction of incident complete heart block, outperforming traditional bifascicular block assessment and offering promising clinical utility in risk stratification and manageme

Sep 27, 2025

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