Article

Towards Multimodal Retrieval-Augmented Generation for Medical Visual Question Answering

2025-10-28

Abstract excerpt

<title>Abstract</title> <p>Medical visual question answering (MedVQA) is a critical AI healthcare task that combines medical image analysis with natural language understanding to assist clinicians in decision-making. While medical vision-language models have shown promise in this domain, they struggle with factual inaccuracies and hallucinations. Retrieval-augmented generation (RAG) improves the factual accuracy...

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Literature Corpus work: d2b3ba24-9f0e-555d-b8a2-57eafc75077e
DOI: 10.21203/rs.3.rs-7752202/v1

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