News-Medical.Net December 5, 2024
Harnessing the power of AI, researchers unlock the potential of whole-body MRI to predict health risks, paving the way for smarter, personalized prevention strategies.
In a recent study published in the journal eBioMedicine, researchers in Germany and the United States developed and validated a deep learning framework for automated volumetric body composition analysis from whole-body Magnetic Resonance Imaging (MRI) and assessed its prognostic value for predicting all-cause mortality in a large Western population.
Background
Body composition measures, including adipose tissue compartments and skeletal muscle, have shown strong associations with clinical outcomes and are emerging as important imaging biomarkers for improving personalized risk assessment. However, their routine quantification from imaging modalities like MRI remains limited in clinical workflows due to time...
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