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The authors of this study used an artificial intelligence-based model in order to predict fragility fractures in postmenopausal women. Through a sample of 174 postmenopausal women, they found a high performance of an artificial neural network (ANN) analysis in predicting the occurrence of vertebral fractures (VFs) and also discovered that femoral bone strain index (BSI) appears helpful in identifying patients at a lower risk for lumbar fractures.

Key points

  • Bone strain index (BSI) is a new finite element analysis Dual-energy x-ray absorptiometry-based parameter.
  • Artificial neural network analysis showed high performance in predicting osteoporotic vertebral fractures.
  • Femoral BSI appears useful in identifying patients at a lower risk for lumbar fractures.

Article: Bone Strain Index predicts fragility fracture in osteoporotic women: an artificial intelligence-based study

Authors: Fabio Massimo Ulivieri, Luca Rinaudo, Carmelo Messina, Luca Petruccio Piodi, Davide Capra, Barbara Lupi, Camilla Meneguzzo, Luca Maria Sconfienza, Francesco Sardanelli, Andrea Giustina & Enzo Grossi

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Welcome to the blog on Artificial Intelligence of the European Society of Radiology

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.