Artificial intelligence and machine learning in the management of patients with degenerative cervical myelopathy: a systematic review.

Journal: Journal of neurosurgical sciences
Published Date:

Abstract

INTRODUCTION: Degenerative cervical myelopathy (DCM) is a debilitating condition caused by compression of the spinal cord. Despite established surgical treatments, accurate diagnosis and prognostication remain challenging in part due to the variability in clinical presentation and lack of screening tools. Machine learning (ML) has emerged as a promising approach to address these challenges through its predictive capabilities for diagnosis, decision-making, and prognostication. Given the recent advent of ML, there is a need to systematically synthesize its applications to the treatment of patients with DCM.

Authors

  • Vikas N Vattipally
  • Ritvik R Jillala
  • Carlos A Aude
  • Arjun K Menta
    The Johns Hopkins University School of Medicine. Baltimore, MD, 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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