HIGHLIGHTS
- who: Marcus D. R. Klarqvist from the Published in partnership with Seoul National University Bundang Hospital have published the article: Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk, in the Journal: (JOURNAL)
- what: The authors aimed to investigate the extent to which VAT/ASAT ratio-a marker of metabolically unhealthy fat distribution-could be predicted using anthropometric models. The authors developed a deep learning model trained on an individual's silhouette that predicts VAT, ASAT, GFAT volumes, and VAT/ASAT ratio using cross-validation analyses of 40,032 individuals. This study . . .
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