Neo4j Live: GraphRAG for Smarter Medical AI скачать в хорошем качестве

Neo4j Live: GraphRAG for Smarter Medical AI

Clinical documentation consumes a significant portion of a doctor’s time, a time better spent on patient care or research. Adiu Health addresses this by combining large language models with a Neo4j-powered knowledge graph to automate consultation summarization and enrich it with contextual medical insights. In this session, you’ll learn how Adiu Health enhances LLM outputs with graph-based retrieval (GraphRAG), enabling tasks like identifying drug interactions, suggesting alternative treatments, and structuring follow-up recommendations. We’ll walk through the architecture, data modeling choices, and how Neo4j integrates into the overall GenAI workflow. Guests: Michael Banf & Johannes Kuhn   / johannes-kuhn-ai     / michaelbanf   Adiu Health: https://www.adiu-health.de/ 0:00 - Welcome and Introductions 4:30 - The Risks of AI in Healthcare 6:29 - Societal Impact and Trust in AI 10:07 - Introducing Adiu Health 12:19 - Reducing Doctor Workload with AI 17:24 - Limitations of Traditional RAG 23:06 - Transition to GraphRAG 32:11 - Tripartite GraphRAG Explained #neo4j #graphdatabase #genai #graphrag #knowledgegraph #llm #lifescience #healthcare