A review of ophthalmology education in the era of generative artificial intelligence.

Journal: Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Published Date:

Abstract

PURPOSE: To explore the integration of generative AI, specifically large language models (LLMs), in ophthalmology education and practice, addressing their applications, benefits, challenges, and future directions.

Authors

  • Anna Heinke
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, California, USA.
  • Niloofar Radgoudarzi
    Division of Ophthalmology Informatics and Data Science, The Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, 9415 Campus Point Drive, La Jolla, CA 92037, USA; Division of Biomedical Informatics, Department of Medicine, University of California San Diego Health System, University of California San Diego, La Jolla, CA, USA.
  • Bonnie B Huang
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Sally L Baxter
    Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla.