AI RESEARCH
Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent
arXiv CS.CL
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ArXi:2604.07269v1 Announce Type: new Clinical expertise improves not only by acquiring medical knowledge, but by accumulating experience that yields reusable diagnostic patterns. Recent LLMs-based diagnostic agents have shown promising progress in clinical reasoning for decision. However, most approaches treat cases independently, limiting experience reuse and continual adaptation. We propose SEA, a self-learning diagnostic agent with cognitively inspired dual-memory module. We design a reinforcement