Integrated visual and text-based analysis of ophthalmology clinical cases using a large language model

Abstract Recent advancements in generative artificial intelligence have enabled analysis of text with visual data, which could have important implications in healthcare. Diagnosis in ophthalmology is often based on a combination of ocular examination, and clinical context. The aim of this study was...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Vera Sorin, Noa Kapelushnik, Idan Hecht, Ofira Zloto, Benjamin S. Glicksberg, Hila Bufman, Adva Livne, Yiftach Barash, Girish N. Nadkarni, Eyal Klang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-02-01
Sarja:	Scientific Reports
Aiheet:	GPT LLMs Large language models AI Ophthalmology Multimodal algorithms
Linkit:	https://doi.org/10.1038/s41598-025-88948-8
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