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Retrieval-Augmented Generation (RAG) in Healthcare: A Comprehensive Review

2025-08-13

Abstract excerpt

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge retrieval to improve factual consistency and reduce hallucinations. Despite growing interest, its use in healthcare remains fragmented. This review fills that gap through an analysis of 30 peer-reviewed studies on RAG in clinical domains, focusing on three of its most prevalent and promising applications in...

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Literature Corpus work
c54a23c4-71ce-5b46-baba-526371418409
DOI
10.20944/preprints202508.1022.v1
Open publication

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