Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study.
Abstract
Aging affects the 12-lead electrocardiogram (ECG) and correlates with cardiovascular disease (CVD). AI-ECG models estimate aging effects as a novel biomarker but have only been evaluated on single ECGs-without utilizing longitudinal data. We validated an AI-ECG model, originally trained on Brazilian data, using a German cohort with over 20 years of follow-up, demonstrating similar performance (r
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Research summary
The paper investigates the relationship between aging effects on ECG and cardiovascular risk, utilizing AI to analyze longitudinal data. While it addresses an important aspect of aging and cardiovascular disease, it primarily focuses on a biomarker rather than tackling the root causes of aging or lifespan extension. The findings contribute to understanding cardiovascular risk in the context of aging, but the impact is limited as it does not propose a novel approach to mitigate aging itself.
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