Artificial intelligence automated measurements of spinopelvic parameters in adult spinal deformity-a systematic review.

Journal: Spine deformity
Published Date: May 23, 2025

Abstract

PURPOSE: This review evaluates advances made in deep learning (DL) applications to automatic spinopelvic parameter estimation, comparing their accuracy to manual measurements performed by surgeons.

Authors

  • Anthony Bishara
    Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, 21287, USA.
  • Saarang Patel
    Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, 21287, USA.
  • Anmol Warman
    Caire Health Inc., Tampa, Florida, USA.
  • Jacob Jo
  • Liam P Hughes
    Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, 21287, USA.
  • Jawad M Khalifeh
    Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, 21287, USA.
  • Tej D Azad

Keywords

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