Enhancing LLM Performance with RAG

Research paper examining RAG applications in medical imaging and radiology, demonstrating how retrieval-augmented approaches improve diagnostic accuracy by grounding LLM responses in relevant medical literature and case histories.

Why it matters: Medical applications of RAG showcase how retrieval can ensure AI systems provide accurate, evidence-based responses in high-stakes domains.

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