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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...

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Principais autores: Vera Sorin, Noa Kapelushnik, Idan Hecht, Ofira Zloto, Benjamin S. Glicksberg, Hila Bufman, Adva Livne, Yiftach Barash, Girish N. Nadkarni, Eyal Klang
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-02-01
Serier:Scientific Reports
Fag:
GPT
LLMs
Large language models
AI
Ophthalmology
Multimodal algorithms
Online adgang:https://doi.org/10.1038/s41598-025-88948-8
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