Evaluating the reliability of the responses of large language models to keratoconus-related questions.

Journal: Clinical & experimental optometry
Published Date: Oct 24, 2024

Abstract

CLINICAL RELEVANCE: Artificial intelligence has undergone a rapid evolution and large language models (LLMs) have become promising tools for healthcare, with the ability of providing human-like responses to questions. The capabilities of these tools in addressing questions related to keratoconus (KCN) have not been previously explored.

Authors

  • Mustafa Kayabaşı
    Department of Ophthalmology, Mus State Hospital, Mus, Turkey.
  • Seher Köksaldı
    Department of Ophthalmology, Mus State Hospital, Mus, Turkey.
  • Ceren Durmaz Engin
    Department of Ophthalmology, Izmir Democracy University Buca Seyfi Demirsoy Education and Research Hospital, Izmir, Turkey.

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