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Automatic Calculation of Cervical Spine Parameters Using Deep Learning: Development and Validation on an External Dataset.

Hiroyuki NakaraiAndrea CinaCatherine JutzelerAlexandra GrobDaniel HaschtmannMarkus LoiblTamas F FeketeFrank KleinstückHans-Joachim WilkeYouping TaoFabio Galbusera
Published in: Global spine journal (2023)
In this work, we developed a model that was able to accurately predict cervical spine parameters from lateral cervical radiographs. In particular, the performances on the external validation set demonstrate the robustness and the high degree of generalizability of our model on images acquired in a different institution.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • minimally invasive