KGLMQA: enhancing medical visual question answering with knowledge graphs and LLMs

Medical Visual Question Answering (MedVQA) leverages computer vision and natural language processing techniques to assist in clinical decision-making. However, existing models frequently encounter challenges such as restricted multimodal interaction, insufficient guidance from external medical knowl...

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Үндсэн зохиолчид:	Wenhu Wang, Huina Liu, Changfa Wei
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	PeerJ Inc. 2026-03-01
Цуврал:	PeerJ Computer Science
Нөхцлүүд:	Medical visual question answering Medical knowledge graph Large language model Knowledge graph retrieval augmented generation
Онлайн хандалт:	https://peerj.com/articles/cs-3679.pdf
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!