Article

A Comparative Performance Study of Retrieval-Augmented Generation Systems in Gynecologic Oncology

2025-12-22

Abstract excerpt

<title>Abstract</title> <p>Large language models (LLMs) show great potential in oncology, but their utility is limited by hallucinations and static knowledge. Retrieval-augmented generation (RAG), which grounds model outputs in curated clinical sources, can mitigate these issues. However, systematic, head-to-head evaluations of different RAG variants in oncology tasks are lacking. We compared thirteen RAG archite...

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Literature Corpus work: 6363f40b-8334-5c40-a2d5-41b8af1aefe8
DOI: 10.21203/rs.3.rs-8221196/v1

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