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Augmenting Large Language Models and Retrieval-Augmented Generation with an Evidence-Based Medicine-Enabled Agent System

2025-10-20

Abstract excerpt

<h4>Importanc</h4> Large language models (LLMs) with retrieval-augmented generation (RAG) show promise for clinical decision support. However, their application is constrained by limited & outdated vector databases, suboptimal evidence retrieval and poor contextual continuity. <h4>Objective</h4> To develop and evaluate a novel LLM-based agent that integrates Evidence-Based Medicine (EBM) principles and contextua...

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Literature Corpus work
ee743d18-7e1b-51b8-bfaa-c08160a175a1
DOI
10.1101/2025.10.17.25338266
Open publication

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Augmenting Large Language Models and Retrieval-Augmented Generation with an Evidence-Based Medicine-Enabled Agent SystemDOI 10.1101/2025.10.17.25338266
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