ChatGPT and retinal disease: a cross-sectional study on AI comprehension of clinical guidelines.

Journal: Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
PMID: 39097289

Abstract

OBJECTIVE: To evaluate the performance of an artificial intelligence (AI) large language model, ChatGPT (version 4.0), for common retinal diseases, in accordance with the American Academy of Ophthalmology (AAO) Preferred Practice Pattern (PPP) guidelines.

Authors

  • Michael Balas
  • Efrem D Mandelcorn
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada; University Health Network, University of Toronto, Toronto, ON, Canada; Kensington Eye Institute, Toronto, ON, Canada.
  • Peng Yan
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Room 603, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
  • Edsel B Ing
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON; Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, AB.. Electronic address: ed.ing@ualberta.ca.
  • Sean A Crawford
  • Parnian Arjmand

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