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 https://www.linkedin.com/in/johannes-kuhn-ai/ https://www.linkedin.com/in/michaelbanf/ Adiu Health: https://www.adiu-health.de/

neo4j #graphdatabase #genai #graphrag #knowledgegraph #llm #lifescience #healthcare