Artificial intelligence versus clinical judgement: how accurately do generative models reflect CNS guidelines for chiari malformation?

Journal: Clinical neurology and neurosurgery
PMID: 39612523

Abstract

OBJECTIVE: This study investigated the response and readability of generative artificial intelligence (AI) models to questions and recommendations proposed by the 2023 Congress of Neurological Surgeons (CNS) guidelines for Chiari 1 malformation.

Authors

  • David Shin
    School of Medicine, Loma Linda University, Loma Linda, CA, USA.
  • Hyunah Park
    School of Medicine, Loma Linda University, Loma Linda, CA, USA.
  • Isabel Shaffrey
    School of Medicine, Duke University, Durham, NC, USA.
  • Vahe Yacoubian
    Department of Orthopaedic Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
  • Taha M Taka
    Department of Orthopaedic Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
  • Justin Dye
    Department of Neurological Surgery, Loma Linda University Medical Center, Loma Linda, CA, USA.
  • Olumide Danisa
    Division of Spine Surgery, Duke University Health, Durham, NC 27710, USA.

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