MedRAG, developed by Nanyang Technological University and other researchers, is a knowledge-graph-elicited, reasoning-enhanced, RAG-based healthcare copilot that generates medical diagnoses and treatment recommendations based on input patient manifestations.

Authors

• Person: Not available Organization: arXiv
  Large Language Models Meet Knowledge Graphs for Question ...

Sources

• Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv via serper

Referenced by nodes (4)

• RAG concept
• health care concept
• MedRAG concept
• medical diagnosis concept