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Open access Oct 2026

AI-derived cardiovascular age from point-of-care ultrasound uncovers accelerated cardiometabolic aging

Artificial intelligence (AI)-based biological age models offer a non-invasive means to quantify cardiovascular (CV) aging, potentially capturing risk beyond chronological age. We evaluated the clinical and cardiometabolic correlates of accelerated CV aging estimated from AI-augmented focused cardiac ultrasound (F...

R. Amster, D. Simanovsky, R. Loutati et al. · 0 citations

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