Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures.

Journal: Computers in biology and medicine
PMID: 39163827

Abstract

OBJECTIVE: To develop and evaluate machine learning (ML) approaches for muscle identification using intraoperative motor evoked potentials (MEPs), and to compare their performance to human experts.

Authors

  • Alessandro Boaro
    Department of Neurosurgery, Computational Neuroscience Outcomes Center, Brigham and Women's Hospital, Boston, Massachusetts.
  • Alberto Azzari
    Department of Computer Science, University of Verona, Verona, Italy.
  • Federica Basaldella
    Division of Neurology, University Hospital, Verona, Italy.
  • Sonia Nunes
    Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
  • Alberto Feletti
    Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
  • Manuele Bicego
    Department of Computer Science, University of Verona, Verona, Italy.
  • Francesco Sala
    Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.

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