Deep learning predicts all-cause mortality from longitudinal total-body dxa imaging

HIGHLIGHTS

  • who: Yannik Glaser from the Computer Sciences, University of Hawai'i at Mānoa, Honolulu, HI, University of Hawai'i at Mānoa Cancer Center, Honolulu, HI, USA. have published the research: Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging, in the Journal: (JOURNAL)
  • what: The models were trained and evaluated on data from the 16-year-long Health Aging and Body Composition Study including over 15 000 scans from over 3000 older multi-race male and female adults. This study shows the efficacy of deep learning for the analysis of . . .

     

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