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M. van Assen

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#artificial intelligence Preprint Aug 2026

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

The developed CARDINAL (Cardiovascular Assessment via Representation learning from Deep Imaging with Nested Anatomical Latent embeddings), a clinically grounded framework that learns compact representations from routine non-contrast cardiac CT for major adverse cardiovascular event (MACE) prediction, suggests that non-contrast cardiac CT contains prognostic information beyond conventional risk equations, CAC scoring, and engineered imaging biomarkers.

Roy M. Gabriel, Nattakorn Kittisut, Jamshid Hassanpour et al. · 0 citations

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