What does the research say about AI-derived biological cardiovascular age gap?

AI-derived biological cardiovascular age gap

There is 1 paper on AI-derived biological cardiovascular age gap in aging research: 1 observational study in people. The newest story, Nov 7, 2026: “Scan-based heart age linked to higher one-year cardiac risk”.

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“Accelerated cardiovascular aging (age gap ≥2 years) identified patients with significantly higher 1-year MACE compared with non-accelerated aging (20.5% vs 5.5%, p<0.001)”

AI-Derived Biological Cardiovascular Age from Coronary CT Angiography Predicts 1-Year Major Adverse Cardiac EventsAHA Scientific Sessions 2026 abstract2026doi:10.1161/circ.154.suppl_1.16949

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AI-derived biological cardiovascular age gap predicts major adverse cardiac event in humans (Biological age gap ≥2 years versus non-accelerated aging) (20.5% vs 5.5%; 3.7-fold increase in risk).
“Accelerated cardiovascular aging (age gap ≥2 years) identified patients with significantly higher 1-year MACE compared with non-accelerated aging (20.5% vs 5.5%, p<0.001)”
HumansBiological age gap ≥2 years versus non-accelerated aging1 yearn = 1,672
Scan-based heart age linked to higher one-year cardiac risk
AHA Scientific Sessions 2026 abstractNov 2, 2026

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AHA Scientific Sessions 2026 AbstractNov 7

Scan-based heart age linked to higher one-year cardiac risk

Over one year, cardiac events occurred in 20.5% of patients whose scan-based heart age exceeded their actual age by at least two years, versus 5.5% otherwise.Over one year, cardiac events occurred in 20.5% of patients whose scan-based heart age exceeded their actual age by at least two years, versus 5.5% otherwise.

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AI-derived biological cardiovascular age gap

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Scan-based heart age linked to higher one-year cardiac risk

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