Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering.

Journal: The British journal of ophthalmology
Published Date: Sep 20, 2024

Abstract

BACKGROUND: Evidence on the performance of Generative Pre-trained Transformer 4 (GPT-4), a large language model (LLM), in the ophthalmology question-answering domain is needed.

Authors

  • Fares Antaki
    Department of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Daniel Milad
    Faculty of Medicine, University of Montreal, Montreal, QC, Canada; Department of Ophthalmology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
  • Mark A Chia
    NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • Charles-Édouard Giguère
    Centre de recherche de l'Institut universitaire en santé mentale de Montréal, Montréal, Quebec, Canada.
  • Samir Touma
    Department of Ophthalmology, Université de Montréal, Montréal, QC, Canada.
  • Jonathan El-Khoury
    Department of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Pearse A Keane
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • Renaud Duval
    Department of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.

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