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AI Heart Age Estimate from Ultrasound Predicts Long-Term Cardiovascular and Dementia Risk
AI-derived heart age from echocardiography images exceeds actual age: linked with higher cardiovascular and dementia mortality over 20 years.
Key Details
- 1AI model estimates heart age using echocardiography (ultrasound) images.
- 2Study involved 568 adults aged 50+ from a general population cohort.
- 3Participants with older AI-estimated heart age than actual age faced higher 20-year risk of death from cardiovascular or dementia-related causes.
- 4A five-year increase in cardiac age gap was associated with a 61% higher mortality risk (HR 1.61), adjusted for age and sex.
- 5Association remained significant (HR 1.46) after adjusting for BMI and cardiac function.
- 6Results presented at ESC Digital & AI Summit 2026 by Mayo Clinic researchers.
Why It Matters
This study demonstrates the potential of AI-powered imaging biomarkers to stratify risk for cardiovascular and dementia-related mortality in general populations. Such findings could pave the way for AI tools in early detection, patient monitoring, and potentially guiding interventions in at-risk individuals.
Source
EurekAlert
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