Nature Communications (Sep 2021)

Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning

  • Chen-I Hsieh,
  • Kang Zheng,
  • Chihung Lin,
  • Ling Mei,
  • Le Lu,
  • Weijian Li,
  • Fang-Ping Chen,
  • Yirui Wang,
  • Xiaoyun Zhou,
  • Fakai Wang,
  • Guotong Xie,
  • Jing Xiao,
  • Shun Miao,
  • Chang-Fu Kuo

DOI
https://doi.org/10.1038/s41467-021-25779-x
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 9

Abstract

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Dual-energy X-ray absorptiometry and the Fracture Risk Assessment Tool are recommended tools for osteoporotic fracture risk evaluation, but are underutilized. Here, the authors present an opportunistic tool to identify fractures, predict bone mineral density and evaluate fracture risk using plain pelvis and lumbar spine radiographs.