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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Deep learning can predict cardiovascular events from liver imaging

Similar Items