Biological Cardiovascular Age Derived from Coronary CTA Reports Using a Large Language Model: A Novel Predictor of Major Adverse Cardiovascular Events?

<b>Background/Objectives</b>: Coronary artery disease (CAD) remains the leading cause of death worldwide. Traditional cardiovascular risk assessment is based on chronological age and other clinical factors, with inherent limitations and poor accuracy. Objective was to estimate the artificial intelli...

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Autori principali:	Gudrun M. Feuchtner, Yannick Scharll, Johannes Deeg, Valentin Bilgeri, Philipp Spitaler, Malik Galijasevic, Michael Swoboda, Leonhard Gruber, Gerlig Widmann, Pietro G. Lacaita
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-04-01
Serie:	Diagnostics
Soggetti:	biological age coronary CTA artificial intelligence large language model MACE CAD-RADS
Accesso online:	https://www.mdpi.com/2075-4418/16/9/1298
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