The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis.

Journal: Clinical ophthalmology (Auckland, N.Z.)
Published Date:

Abstract

PURPOSE: To evaluate the ability of an artificial intelligence (AI) model, ChatGPT, in predicting the diabetic retinopathy (DR) risk.

Authors

  • Keerthana Raghu
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • Tamilselvi S
    Centre for Health Care Advancement, Innovation, and Research Department, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
  • Chitralekha S Devishamani
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • Suchetha M
    Centre for Health Care Advancement, Innovation, and Research Department, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
  • Ramachandran Rajalakshmi
    Department of Diabetology, Ophthalmology and Epidemiology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
  • Rajiv Raman
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.

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