Kinematic analysis of lumbar pedicle screw placement using an artificial intelligence framework.

Journal: Neurosurgical focus
Published Date:

Abstract

OBJECTIVE: Robotics and artificial intelligence (AI) are being increasingly integrated in spine surgery. One emerging application of AI is in hand motion detection to assess surgical skill. However, no standardized framework currently exists for evaluating trainee proficiency in spine surgery. This proof-of-concept study applied AI-based motion analysis and the machine learning (ML) pipeline to evaluate hand movements during lumbar pedicle screw placement, aiming to generate objective metrics for skill assessment.

Authors

  • Christian J Quinones
    1Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport; and.
  • Deepak Kumbhare
    1Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport; and.
  • Matthew Palfreeman
    1Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport; and.
  • Udaysinh Rathod
    2Department of Computer Science, Louisiana State University Shreveport, Louisiana.
  • Devesh Sarda
    2Department of Computer Science, Louisiana State University Shreveport, Louisiana.
  • Subhajit Chakrabarty
    2Department of Computer Science, Louisiana State University Shreveport, Louisiana.
  • Bharat Guthikonda
    1Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport; and.
  • Stanley Hoang
    1Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport; and.