PERFORMANCE ASSESSMENT OF AN ARTIFICIAL INTELLIGENCE CHATBOT IN CLINICAL VITREORETINAL SCENARIOS.

Journal: Retina (Philadelphia, Pa.)
Published Date: Jun 1, 2024

Abstract

PURPOSE: To determine how often ChatGPT is able to provide accurate and comprehensive information regarding clinical vitreoretinal scenarios. To assess the types of sources ChatGPT primarily uses and to determine whether they are hallucinated.

Authors

  • Michael J Maywood
    Department of Ophthalmology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
  • Ravi Parikh
    NYU Langone Health, Department of Ophthalmology, New York University School of Medicine, New York, New York; Manhattan Retina and Eye Consultants, New York, New York. Electronic address: Rap120@mail.harvard.edu.
  • Avnish Deobhakta
    Icahn School of Medicine of Mount Sinai, New York, New York.
  • Tedi Begaj
    Department of Ophthalmology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.

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