CARE: Privacy-Compliant Agentic Reasoning with Evidence Discordance
CARE is proposed: a multi-stage privacy-compliant agentic reasoning framework in which a proprietary LLM provides guidance by generating structured categories and transitions without accessing sensitive patient data, while a local LLM uses these categories and transitions to support evidence acquisition and final decision-making.