Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western populationResearch in context

Summary: Background: Manually extracted imaging-based body composition measures from a single-slice area (A) have shown associations with clinical outcomes in patients with cardiometabolic disease and cancer. With advances in artificial intelligence, fully automated volumetric (V) segmentation appr...

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Bibliographic Details

Published in:	EBioMedicine
Main Authors:	Matthias Jung, Vineet K. Raghu, Marco Reisert, Hanna Rieder, Susanne Rospleszcz, Tobias Pischon, Thoralf Niendorf, Hans-Ulrich Kauczor, Henry Völzke, Robin Bülow, Maximilian F. Russe, Christopher L. Schlett, Michael T. Lu, Fabian Bamberg, Jakob Weiss
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Magnetic resonance imaging Artificial intelligence Deep learning Body composition Public health Mortality
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352396424005036