ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory

ArXi:2603.26182v1 Announce Type: new While Large Language Models (LLMs) have nstrated potential in healthcare, they often struggle with the complex, non-linear reasoning required for accurate clinical diagnosis. Existing methods typically rely on static, linear mappings from symptoms to diagnoses, failing to capture the iterative, hypothesis-driven reasoning inherent to human clinicians. To bridge this gap, we