Summary of Kg4diagnosis: a Hierarchical Multi-agent Llm Framework with Knowledge Graph Enhancement For Medical Diagnosis, by Kaiwen Zuo et al.
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
by Kaiwen Zuo, Yirui Jiang, Fan Mo, Pietro Lio
First submitted to arxiv on: 22 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents KG4Diagnosis, a novel hierarchical multi-agent framework that integrates Large Language Models (LLMs) with automated knowledge graph construction to handle complex medical scenarios. The framework combines general practitioner (GP) agents for initial assessment with specialized agents for in-depth diagnosis in specific domains. The core innovation lies in the end-to-end knowledge graph generation methodology, incorporating semantic-driven entity and relation extraction optimized for medical terminology, multi-dimensional decision relationship reconstruction from unstructured medical texts, and human-guided reasoning for knowledge expansion. KG4Diagnosis serves as an extensible foundation for specialized medical diagnosis systems, enabling seamless integration of domain-specific enhancements. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary KG4Diagnosis is a new way to use computers to help doctors diagnose patients. It’s like having a team of expert helpers who can work together to figure out what’s wrong with someone. This system uses special language models and knowledge graphs to understand medical information, and it can be used in many different areas of medicine. The big idea behind KG4Diagnosis is that it makes it easier for doctors to get the right diagnosis by providing a framework for how they can work together with computers. |
Keywords
» Artificial intelligence » Knowledge graph
