Validation of an artificial intelligence-based method to automate Cobb angle measurement on spinal radiographs of children with adolescent idiopathic scoliosis.

Journal: European journal of physical and rehabilitation medicine
Published Date: Aug 1, 2023

Abstract

BACKGROUND: Accurately measuring the Cobb angle on radiographs is crucial for diagnosis and treatment decisions for adolescent idiopathic scoliosis (AIS). However, manual Cobb angle measurement is time-consuming and subject to measurement variation, especially for inexperienced clinicians.

Authors

  • Jason C Wong
    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.
  • Marek Z Reformat
    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.
  • Eric C Parent
    Department of Physical Therapy, University of Alberta, Edmonton, Canada.
  • Kyle P Stampe
    Department of Surgery, University of Alberta, Edmonton, Canada.
  • Sarah C Southon Hryniuk
    Department of Surgery, University of Alberta, Edmonton, Canada.
  • Edmond H Lou
    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada - elou@ualberta.ca.

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