Artificial intelligence chatbot performance in triage of ophthalmic conditions.

Journal: Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Published Date: Aug 1, 2024

Abstract

BACKGROUND: Timely access to human expertise for affordable and efficient triage of ophthalmic conditions is inconsistent. With recent advancements in publicly available artificial intelligence (AI) chatbots, the lay public may turn to these tools for triage of ophthalmic complaints. Validation studies are necessary to evaluate the performance of AI chatbots as triage tools and inform the public regarding their safety.

Authors

  • Riley J Lyons
    Department of Ophthalmology, Emory University School of Medicine, Atlanta, GA.
  • Sruthi R Arepalli
    Department of Ophthalmology, Emory University School of Medicine, Atlanta, GA.
  • Ollya Fromal
    Department of Ophthalmology, Emory University School of Medicine, Atlanta, GA.
  • Jinho D Choi
    Department of Computer Science, Emory University, Atlanta, GA.
  • Nieraj Jain
    Casey Eye Institute, Oregon Health & Science University, 3375 SW Terwilliger Blvd, Portland, OR 97205, USA; Department of Ophthalmology, Emory University, 1365B Clifton Rd, Atlanta, GA 30322, USA.

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