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m2ABQ-a proposed refinement of the modified algorithm-based qualitative classification of osteoporotic vertebral fractures.

H Laura AaltonenM K O'ReillyK F LinnauQ DongS K JohnstonJ G JarvikNathan M Cross
Published in: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA (2022)
The m2ABQ system demonstrates moderate interobserver agreement and practical feasibility for classifying osteoporotic vertebral body fractures. Future studies to compare the method to existing studies are warranted, as well as further development of its use in machine learning purposes.
Keyphrases
  • machine learning
  • bone mineral density
  • deep learning
  • postmenopausal women
  • case control
  • artificial intelligence
  • body composition
  • big data
  • systematic review
  • current status
  • high intensity