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

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
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
Series:EBioMedicine
Subjects:
Magnetic resonance imaging
Artificial intelligence
Deep learning
Body composition
Public health
Mortality
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396424005036
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