Multimodal LLMs for retinal disease diagnosis via OCT: few-shot versus single-shot learning

Background and aim: Multimodal large language models (LLMs) have shown potential in processing both text and image data for clinical applications. This study evaluated their diagnostic performance in identifying retinal diseases from optical coherence tomography (OCT) images. Methods: We assessed th...

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Hlavní autoři:	Reem Agbareia, Mahmud Omar, Ofira Zloto, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SAGE Publishing 2025-05-01
Edice:	Therapeutic Advances in Ophthalmology
On-line přístup:	https://doi.org/10.1177/25158414251340569
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