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MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval
arXiv – CS AI|Shuheng Chen, Namratha Patil, Haonan Pan, Angel Hsing-Chi Hwang, Yao Du, Ruishan Liu, Jieyu Zhao||1 views
🤖AI Summary
Researchers have developed MED-COPILOT, an AI-powered clinical decision-support system that combines GraphRAG retrieval with similar patient case analysis to assist healthcare professionals. The system uses structured knowledge graphs from WHO and NICE guidelines along with a 36,000-case patient database to outperform standard AI models in clinical reasoning accuracy.
Key Takeaways
- →MED-COPILOT combines guideline-grounded GraphRAG with hybrid semantic-keyword patient case retrieval for clinical decision support.
- →The system builds structured knowledge graphs from WHO and NICE medical guidelines for evidence-based reasoning.
- →It maintains a 36,000-case similar-patient database derived from MIMIC-IV notes and Synthea-generated medical records.
- →Testing shows the system consistently outperforms standard LLM baselines and traditional RAG in clinical reasoning accuracy.
- →The full system is publicly available on Hugging Face with transparent evidence inspection and visualization features.
#ai#healthcare#medical-ai#graphrag#clinical-decision-support#llm#knowledge-graphs#mimic-iv#medical-research#retrieval-augmented-generation
Read Original →via arXiv – CS AI
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