Neural network-based multi-task learning to assist planning of posterior spinal fusion surgery for adolescent idiopathic scoliosis.

Journal: Spine deformity
Published Date:

Abstract

PURPOSE: Posterior spinal instrumentation and fusion (PSF) is the gold standard for severe adolescent idiopathic scoliosis (AIS), yet instrumentation strategies vary widely, often leading to suboptimal results. Deep learning's potential in AIS planning is underexplored.

Authors

  • Caroline Constant
    Department of Orthopedic Surgery, Mayo Clinic, 200 1 st Street Southwest, Rochester, MN, 55905, USA. caroline.constant@uzh.ch.
  • A Noelle Larson
    Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Mayo Clinic, Rochester, Minnesota; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
  • David W Polly
    Department of Orthopedic Surgery, University of Minnesota, Minneapolis, MN.
  • Carl-Eric Aubin
    Polytechnique Montréal, 2500 Chemin de Polytechnique, Montréal, H3 T 1 J4, Canada.

Keywords

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