Investigating the Accuracy and Completeness of an Artificial Intelligence Large Language Model About Uveitis: An Evaluation of ChatGPT.

Journal: Ocular immunology and inflammation
PMID:

Abstract

PURPOSE: To assess the accuracy and completeness of ChatGPT-generated answers regarding uveitis description, prevention, treatment, and prognosis.

Authors

  • Rayna F Marshall
    The Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.
  • Krishna Mallem
    The Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.
  • Hannah Xu
    University of California San Diego, San Diego, California, USA.
  • Jennifer Thorne
    The Wilmer Eye Institute, Division of Ocular Immunology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Bryn Burkholder
    The Wilmer Eye Institute, Division of Ocular Immunology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Benjamin Chaon
    The Wilmer Eye Institute, Division of Ocular Immunology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Paulina Liberman
    The Wilmer Eye Institute, Division of Ocular Immunology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Meghan Berkenstock
    The Wilmer Eye Institute, Division of Ocular Immunology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.