MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation

Researchers propose MIND, a reinforcement learning framework that improves AI-powered psychiatric consultation by addressing key challenges in diagnostic accuracy and clinical reasoning. The system uses a Criteria-Grounded Psychiatric Reasoning Bank to provide better clinical support and reduce inquiry drift during multi-turn patient interactions.