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Article

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes.

Scientific reports - 31 Dec 2022

Libiseller-Egger Julian, Phelan Jody E, Attia Zachi I, Benavente Ernest Diez, Campino Susana, Friedman Paul A, Lopez-Jimenez Francisco, Leon David A, Clark Taane G

Abstract excerpt

Artificial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide expert-level performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models has shown great potential as a biomarker for cardiovascular age, where recent work has found its deviation from chronological age ("delta age") to be associated with mortality and...

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Identifiers

PMID: 36587059
DOI: 10.1038/s41598-022-27254-z
PMCID: PMC9805465

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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