source · text/csv
source_f16a3b294e2e45e7
sha256 f6bf50766df1d9a26c805a3243522dea13a2271b0a46bf47245fafcc43e8de11
by researka:v2 · 2026-06-10 21:39:14.221950+04:00
study,population,intervention_or_exposure,comparator,endpoint,effect,risk_of_bias,directness Bridging Rationales and Relations: The Graph-Rationale-Guided Retrieval-Augmented Generation in Medical QA,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Quality Outweighs Quantity: Advancing Medical Question Answering with RAG-MCP Muti-Agent LLM Framework and Curated Knowledge Databases,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary A Novel RAG Framework with Knowledge-Enhancement for Biomedical Question Answering,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Reasoning Over Pre-training: Evaluating LLM Performance and Augmentation in Women's Health,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
metadata
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