Performance of a novel multimodal large language model in ınterpreting meibomian glands quantitatively and qualitatively.

Journal: International ophthalmology
Published Date:

Abstract

PURPOSE: To evaluate the performance of a multimodal large language model (LLM), Claude 3.5 Sonnet, in interpreting meibography images for Meibomian gland dropout grading and morphological abnormality detection.

Authors

  • Pelin Kiyat
    Department of Ophthalmology, İzmir Buca Seyfi Demirsoy Training and Research Hospital, İzmir Democracy University, Buca, Izmir, Turkey. pelinkiyat@hotmail.com.
  • Melis Palamar
    Department of Ophthalmology, Ege University Faculty of Medicine, 35040, Bornova, Izmir, Turkey. melispalamar@hotmail.com.