#heart-failure News & Analysis

2 articles tagged with #heart-failure. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 196/10

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Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI

Researchers developed DeepHHF, a deep learning model trained on 24-hour ECG recordings that predicts heart failure risk within five years with 0.80 AUC accuracy, outperforming traditional 30-second ECG analysis and clinical scoring systems. The model identified high-risk patients with a two-fold increased chance of hospitalization or death, demonstrating that continuous cardiac monitoring combined with explainable AI offers a non-invasive, cost-effective approach to preventive healthcare.

AIBullisharXiv – CS AI · May 296/10

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A Composable Multimodal Framework for cine CMR-Text-Driven Prediction of Heart Failure Outcomes

Researchers developed a multimodal AI framework that combines cardiac MRI imaging, clinical metrics, and medical text records to improve heart failure prognosis prediction and treatment planning. The integrated approach demonstrates superior accuracy compared to single-data-source algorithms, addressing a critical gap in managing this leading cause of global mortality.