Deep learning can predict cardiovascular events from liver imaging

Deep learning can predict cardiovascular events from liver imaging

Background & Aims: Cardiovascular mortality remains the leading cause of death and a significant source of morbidity, with metabolic alterations being key etiological factors. As the main metabolic organ, the liver could predict prodromal changes associated with increased cardiovascular risk...

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Bibliographic Details
Main Authors: Gregory Patrick Veldhuizen, Tim Lenz, Didem Cifci, Marko van Treeck, Jan Clusmann, Yazhou Chen, Carolin V. Schneider, Tom Luedde, Peter W. de Leeuw, Ali El-Armouche, Daniel Truhn, Jakob Nikolas Kather
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:JHEP Reports
Subjects:
Deep learning
Cardiovascular risk
Liver MRI
Major adverse cardiac events (MACE)
Vision transformer (ViT)
Self-supervised learning (SSL)
Online Access:http://www.sciencedirect.com/science/article/pii/S2589555925001041
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