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Bridging AI and Healthcare: A Scoping Review of Retrieval-Augmented Generation—Ethics, Bias, Transparency, Improvements, and Applications

2025-04-01

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<h4>Background</h4> Retrieval-augmented generation (RAG) is an emerging artificial intelligence (AI) strategy that integrates encoded model knowledge with external data sources to enhance accuracy, transparency, and reliability. Unlike traditional large language models (LLMs), which are limited by static training data and potential misinformation, RAG dynamically retrieves and integrates relevant medical literatu...

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Literature Corpus work
81d21c2b-35ff-58e9-a027-22dc59385508
DOI
10.1101/2025.04.01.25325033
Open publication

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Bridging AI and Healthcare: A Scoping Review of Retrieval-Augmented Generation—Ethics, Bias, Transparency, Improvements, and ApplicationsDOI 10.1101/2025.04.01.25325033
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