Machine learning in neurosurgery: a global survey.

Journal: Acta neurochirurgica
Published Date: Dec 1, 2020

Abstract

BACKGROUND: Recent technological advances have led to the development and implementation of machine learning (ML) in various disciplines, including neurosurgery. Our goal was to conduct a comprehensive survey of neurosurgeons to assess the acceptance of and attitudes toward ML in neurosurgical practice and to identify factors associated with its use.

Authors

  • Victor E Staartjes
    Department of Neurosurgery, Bergman Clinics, Naarden, The Netherlands; and.
  • Vittorio Stumpo
    Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Julius M Kernbach
    Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany.
  • Anita M Klukowska
    Department of Neurosurgery, Bergman Clinics, Amsterdam, The Netherlands; School of Medicine, University of Nottingham, Nottingham, United Kingdom.
  • Pravesh S Gadjradj
    Department of Neurosurgery, Leiden University Medical Centre, Leiden, The Netherlands.
  • Marc L Schröder
    Department of Neurosurgery, Bergman Clinics, Naarden, The Netherlands; and.
  • Anand Veeravagu
    Department of Neurosurgery, Stanford Medical Center, Stanford, California.
  • Martin N Stienen
    Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
  • Christiaan H B van Niftrik
    1Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.
  • Carlo Serra
    1Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.
  • Luca Regli
    Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

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