AI Analyzes ECGs to Predict Heart Failure Risk Up to 24x Higher

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Yale scientists developed an AI tool to predict heart failure before symptoms appear.

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Standard ECG tests gain new predictive power through AI image analysis.

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AI tool identifies patients with 4 to 24 times higher risk of developing heart failure.

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Research validated across 231,000 US patients, 42,000 UK patients, and Brazilian study participants.

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Early AI detection enables preventive care to reduce hospitalizations and premature deaths.

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AI tool enhances existing heart failure prediction models with improved accuracy.

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Yale aims to implement this technology in resource-limited healthcare settings.

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National health institutes and Doris Duke Foundation support this medical advancement.

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