Learning curves in robot-assisted spine surgery: a systematic review and proposal of application to residency curricula.

Journal: Neurosurgical focus
Published Date: Jan 1, 2022

Abstract

OBJECTIVE: Spine robots have seen increased utilization over the past half decade with the introduction of multiple new systems. Market research expects this expansion to continue over the next half decade at an annual rate of 20%. However, because of the novelty of these devices, there is limited literature on their learning curves and how they should be integrated into residency curricula. With the present review, the authors aimed to address these two points.

Authors

  • Zach Pennington
    Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Brendan F Judy
    2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; and.
  • Hesham M Zakaria
    3Department of Neurosurgery, California Pacific Medical Center, Sutter Health, San Francisco, California.
  • Nikita Lakomkin
    1Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota.
  • Anthony L Mikula
    1Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota.
  • Benjamin D Elder
    1Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota.
  • Nicholas Theodore
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Orthopaedic Surgery & Biomedical Engineering, Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: theodore@jhmi.edu.

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