Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort.

Journal: Neurosurgical focus
Published Date: Jun 1, 2025

Abstract

OBJECTIVE: SpinePose was developed in 2024 as a novel artificial intelligence (AI) tool to automatically predict spinopelvic parameters with high accuracy and without the need for manual entry. The authors' published results demonstrated excellent performance comparable to a fellowship-trained spine surgeon with more than 15 years of experience. To date, there have not been any studies that have externally validated the performance of AI-based spinopelvic parameter measurement tools on data acquired from other institutions. To assess the generalizability of SpinePose, the authors report its performance on an external set of heterogeneous whole-spine scoliosis radiographs obtained from an outside institution.

Authors

  • Rushikesh S Joshi
    Department of Neurological Surgery, University of California, San Francisco, 400 Parnassus Avenue, A850, San Francisco, CA, 94143, USA.
  • Edward S Harake
    1School of Medicine and Departments of.
  • Cheng Jiang
    Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitaion, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Jason J Haselhuhn
    Department of Orthopedic Surgery, University of Minnesota, 2450 Riverside Avenue South, Suite R200, Minneapolis, MN, 55454, USA.
  • Joseph R Linzey
    Departments of2Neurosurgery and.
  • Jaes C Jones
    2Neurosurgery.
  • Mark M Zaki
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Kari Odland
    Department of Orthopedic Surgery, University of Minnesota, 2450 Riverside Avenue South, Suite R200, Minneapolis, MN, 55454, USA.
  • Zachary Wilseck
    5Radiology, University of Michigan, Ann Arbor, Michigan.
  • Jacob R Joseph
    Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.
  • David W Polly
    Department of Orthopedic Surgery, University of Minnesota, Minneapolis, MN.
  • Todd C Hollon
    Departments of1Neurosurgery.
  • Paul Park
    Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.

Keywords

External Resources

Popular Topics
Recent Journals