Bridging the Gap: Can Large Language Models Match Human Expertise in Writing Neurosurgical Operative Notes?

Journal: World neurosurgery
PMID:

Abstract

BACKGROUND: Proper documentation is essential for patient care. The popularity of artificial intelligence (AI) offers the potential for improvements in neurosurgical note-writing. This study aimed to assess how AI can optimize documentation in neurosurgical procedures.

Authors

  • Abdullah Ali
    School of Computer Science, University of Washington, Seattle, WA, United States of America.
  • Rohit Prem Kumar
    Department of Neurological Surgery, University of Pittsburgh School of Medicine, UPMC Presbyterian, Suite B-400, 200 Lothrop Street, Pittsburgh, PA 15213, USA.
  • Hanish Polavarapu
    Department of Neurosurgery, SUNY Upstate Medical University, Syracuse, New York, USA.
  • Raj Swaroop Lavadi
    Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh , Pennsylvania , USA.
  • Anil Mahavadi
    Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Andrew D Legarreta
    Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh , Pennsylvania , USA.
  • Joseph S Hudson
    Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh , Pennsylvania , USA.
  • Manan Shah
  • David Paul
    Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • James Mooney
    Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Nicholas Dietz
    Department of Neurological Surgery, University of Louisville and Kentucky Spinal Cord Injury Research Center, Louisville, Kentucky, USA.
  • Daryl P Fields
    Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • D Kojo Hamilton
    University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
  • Nitin Agarwal
    Department of Neurological Surgery, University of Pittsburgh School of Medicine, UPMC Presbyterian, Suite B-400, 200 Lothrop Street, Pittsburgh, PA 15213, USA. Electronic address: nitin.agarwal@upmc.edu.