Development and evaluation of an agentic LLM based RAG framework for evidence-based patient education

Objectives To develop and evaluate an agentic retrieval augmented generation (ARAG) framework using open-source large language models (LLMs) for generating evidence-based Arabic patient education materials (PEMs) and assess the LLMs capabilities as validation agents tasked with blocking harmful cont...

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Bibliographic Details
Main Authors: Mowafa Househ, AlHasan AlSammarraie, Ali Al-Saifi, Hassan Kamhia, Mohamed Aboagla
Format: Article
Language:English
Published: BMJ Publishing Group 2025-07-01
Series:BMJ Health & Care Informatics
Online Access:https://informatics.bmj.com/content/32/1/e101570.full
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