The use of generative artificial intelligence-based dictation in a neurosurgical practice: a pilot study.

Journal: Neurosurgical focus
Published Date: Jul 1, 2025

Abstract

OBJECTIVE: Document dictation remains a significant clinical burden and generative artificial intelligence (AI) systems utilizing transformer-based technology offer efficient speech processing methods that could streamline clinical documentation. This study aimed to evaluate the potential of generative AI in enhancing dictation efficiency and workflow within a targeted neurosurgical practice.

Authors

  • Benjamin S Hopkins
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Jonathan Dallas
    1Department of Neurological Surgery, University of Southern California, Los Angeles, California; and.
  • James Yu
    Departments of1Neurological Surgery and.
  • Robert G Briggs
    Departments of1Neurological Surgery and.
  • Lawrance K Chung
    Departments of1Neurological Surgery and.
  • David J Cote
    Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • David Gomez
    Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
  • Ishan Shah
    Departments of1Neurosurgery and.
  • John D Carmichael
    2Endocrinology, Keck School of Medicine of the University of Southern California, Los Angeles, California.
  • John C Liu
    Departments of1Neurological Surgery and.
  • William J Mack
    1Department of Neurological Surgery, University of Southern California, Los Angeles, California; and.
  • Gabriel Zada
    Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.

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