Performance analysis of an emergency triage system in ophthalmology using a customized CHATBOT.

Journal: Digital health
Published Date: May 11, 2025

Abstract

PURPOSE: To evaluate the performance of a custom ChatGPT-based chatbot in triaging ophthalmic emergencies compared to trained ophthalmologists.

Authors

  • Inès Schumacher
    Department of Ophthalmology, Inselspital, University Hospital of Bern, Bern, Switzerland.
  • Lorenzo Ferro Desideri
    Department of Ophthalmology, Inselspital, University Hospital of Bern, Bern, Switzerland.
  • Virginie Manuela Marie Bühler
    Department of Ophthalmology, Inselspital, University Hospital of Bern, Bern, Switzerland.
  • Nicola Sagurski
    Department of Ophthalmology, Inselspital, University Hospital of Bern, Bern, Switzerland.
  • Yousif Subhi
    Department of Ophthalmology, Rigshospitalet, Glostrup, Denmark.
  • Gaurav Bhardwaj
    Discipline of Ophthalmology and Eye Health and Save Sight Institute, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Janice Roth
    Department of Ophthalmology, Inselspital, University Hospital of Bern, Bern, Switzerland.
  • Rodrigo Anguita
    Department of Ophthalmology, Inselspital, University Hospital of Bern, Bern, Switzerland.

Keywords

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