SOURCE-LINKED INTELLIGENCE
EMR: Self-Evolving Medical Multi-Agent System via Experience Mining and Reuse
Large language model (LLM) driven multi-agent systems have shown promise in complex clinical reasoning, yet existing approaches rely on static strategies and lack persistent clinical memory, preventing self-evolving from prior diagnostic successes and failures. We present EMR, a self-evolving medical multi-agent system via Experience Mining and Reuse. EMR introduces a hierarchical clinical experience library that organizes accumulated knowledge into three levels: clinical principles, diagnostic patterns, and representative cases. During inference, EMR emulates multidisciplinary consultation: a
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- arXiv · AI, language, vision and robotics · 2026-09-14T07:41:56.000Z
First collected: 2026-09-20T11:41:07.830Z. This is not the publication date.