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...