Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis

Background and aim: Visual data from images is essential for many medical diagnoses. This study evaluates the performance of multimodal Large Language Models (LLMs) in integrating textual and visual information for diagnostic purposes. Methods: We tested GPT-4o and Claude Sonnet 3.5 on 120 clinical...

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Detalhes bibliográficos

Principais autores:	Reem Agbareia, Mahmud Omar, Shelly Soffer, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-01-01
Colecção:	Computational and Structural Biotechnology Journal
Assuntos:	Artificial intelligence Medical diagnosis Multimodal learning Large language models Visual data integration
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2001037024004379
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