Article

Medical HyperRAG: A Hypergraph-Enhanced Retrieval-Augmented Generation Framework for Clinical Question Answering

2026-04-27

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<title>Abstract</title> <p>Clinical question answering plays a crucial role in intelligent healthcare, where reliable reasoning over patient-specific conditions and up-to-date medical evidence is essential for clinical decision support. However, large language models often suffer from hallucinations, outdated internal knowledge, and weak interpretability when facing multi-entity and multi-condition reasoning task...

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Literature Corpus work: 0beeaac9-303c-5f93-808d-46c479135bfa
DOI: 10.21203/rs.3.rs-8497459/v1

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