The role of generative artificial intelligence in deciding fusion treatment of lumbar degeneration: a comparative analysis and narrative review.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date:

Abstract

PURPOSE: This study analyzed responses and readability of generative artificial intelligence (AI) models to questions and recommendations from the 2014 Journal of Neurosurgery: Spine (JNS) guidelines for fusion procedures in the treatment of degenerative lumbar spine disease.

Authors

  • Taha M Taka
    Department of Orthopaedic Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
  • Christopher E Collins
    Orthopedic Surgery, California University of Science and Medicine, Colton, USA.
  • Andrew Miner
    School of Medicine, University of California - Riverside, Riverside, USA.
  • Isaac Overfield
    School of Medicine, Loma Linda University, Loma Linda, USA.
  • David Shin
    School of Medicine, Loma Linda University, Loma Linda, CA, USA.
  • Lauren Seo
    Departments of Orthopaedic and Neurological Surgery, Duke University Health System, Duke Spine Center, Durham, NC 27710, USA.
  • Olumide Danisa
    Division of Spine Surgery, Duke University Health, Durham, NC 27710, USA.

Keywords

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