Topic
medical ai
DeepRoot Multi-Agent System Enables Therapeutic Reasoning Over Historical Medical Texts with 47.6% Accuracy
DeepRoot is a multi-agent LLM system that jointly builds and utilizes a verified knowledge graph for therapeutic reasoning over historical medical texts. Applied to the Shen Nong Ben Cao Jing, it recovers 10 of 21 held-out compound-disease treatment pairs at R@20 (47.6%), significantly outperforming a raw corpus LLM (4.8%) and random baseline (2.4%). The system also reduces hallucination to 7-10% compared to 87% for tool-using LLMs, offering a scalable method for mining historical medical knowledge.
Survey on Medical Embodied AI Highlights Integration of Perception, Decision-Making, and Action
A systematic survey of medical embodied AI examines its core components — perception, decision-making, and action — and their coordinated integration for real-world clinical workflows. The paper reviews representative applications, datasets, and challenges, highlighting the need for unified system-level organization beyond individual functional aspects.