Assessing the Readability, Reliability, and Quality of AI-Modified and Generated Patient Education Materials for Endoscopic Skull Base Surgery.

Journal: American journal of rhinology & allergy
PMID: 39169720

Abstract

BACKGROUND: Despite National Institutes of Health and American Medical Association recommendations to publish online patient education materials at or below sixth-grade literacy, those pertaining to endoscopic skull base surgery (ESBS) have lacked readability and quality. ChatGPT is an artificial intelligence (AI) system capable of synthesizing vast internet data to generate responses to user queries but its utility in improving patient education materials has not been explored.

Authors

  • Michael Warn
    Riverside School of Medicine, University of California, Riverside, California.
  • Leo L T Meller
    San Diego School of Medicine, University of California, San Diego, California.
  • Daniella Chan
    Department of Otolaryngology - Head and Neck Surgery, University of California, Irvine, Orange, California.
  • Sina J Torabi
    Department of Otolaryngology - Head and Neck Surgery, University of California, Orange, CA, USA.
  • Benjamin F Bitner
    Department of Otolaryngology - Head and Neck Surgery, University of California, Orange, CA, USA.
  • Bobby A Tajudeen
    Department of Otorhinolaryngology-Head and Neck Surgery, Rush University Medical Center, Chicago, Illinois, USA.
  • Edward C Kuan
    Department of Otolaryngology - Head and Neck Surgery, University of California, Orange, CA, USA.

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