Enhancing medical AI with retrieval-augmented generation: A mini narrative review
Retrieval-augmented generation (RAG) is a powerful technique in artificial intelligence (AI) and machine learning that enhances the capabilities of large language models (LLMs) by integrating external data sources, allowing for more accurate, contextually relevant responses. In medical applications,...
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| Main Authors: | Omid Kohandel Gargari, Gholamreza Habibi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-04-01
|
| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251337177 |
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