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AI Model Predicts Five-Year Heart Failure Risk from 24-Hour ECG Data

Artificial Intelligence #explainable ai#machine learning

AI Model Predicts Five-Year Heart Failure Risk from 24-Hour ECG Data

Researchers at Technion and Leumit Health Services developed DeepHHF, a deep learning model that analyzes 24-hour single-lead ECG recordings to predict heart failure risk within five years. The model achieved an AUC of 0.80, outperforming shorter segments and clinical scores, and identified high-risk individuals with a twofold chance of hospitalization or death.

Jun 21, 2026 1 source