Article
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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Identifiers and source
- Literature Corpus work
- c54a23c4-71ce-5b46-baba-526371418409
- DOI
- 10.20944/preprints202508.1022.v1
