Generation of preoperative anaesthetic plans by ChatGPT-4.0: a mixed-method study.

Journal: British journal of anaesthesia
PMID: 39547871

Abstract

BACKGROUND: Recent advances in artificial intelligence (AI) have enabled development of natural language algorithms capable of generating coherent texts. We evaluated the quality, validity, and safety of this generative AI in preoperative anaesthetic planning.

Authors

  • Michel Abdel Malek
    Department of Anaesthesiology, Leiden University Medical Centre, Leiden, The Netherlands. Electronic address: m.abdel_malek@lumc.nl.
  • Monique van Velzen
    Department of Anaesthesiology, Leiden University Medical Centre, Leiden, The Netherlands.
  • Albert Dahan
    Department of Anesthesiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Chris Martini
    Department of Anaesthesiology, Leiden University Medical Centre, Leiden, The Netherlands.
  • Elske Sitsen
    Department of Anaesthesiology, Leiden University Medical Centre, Leiden, The Netherlands.
  • Elise Sarton
    Department of Anaesthesiology, Leiden University Medical Centre, Leiden, The Netherlands.
  • Martijn Boon
    Department of Anaesthesiology, Leiden University Medical Centre, Leiden, The Netherlands.

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