Utilization of Artificial Intelligence in the Creation of Patient Information on Laryngology Topics.

Journal: The Laryngoscope
PMID: 39503508

Abstract

OBJECTIVE: To evaluate and compare the readability and quality of patient information generated by Chat-Generative Pre-Trained Transformer-3.5 (ChatGPT) and the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) using validated instruments including Flesch-Kincaid Grade Level (FKGL), Flesch Reading Ease, DISCERN, and Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P).

Authors

  • Quynh-Lam Tran
    Department of Head and Neck Surgery, Kaiser Permanente, Oakland Medical Center, Oakland, California, U.S.A.
  • Pauline P Huynh
    Department of Head and Neck Surgery, Kaiser Permanente, Oakland Medical Center, Oakland, California, U.S.A.
  • Bryan Le
    Department of Head and Neck Surgery, Kaiser Permanente, Oakland Medical Center, Oakland, California, U.S.A.
  • Nancy Jiang
    Department of Head and Neck Surgery, Kaiser Permanente, Oakland Medical Center, Oakland, California, U.S.A.

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