Doctor-R1: AI for Clinical Inquiry

Doctor-R1 is an 8B parameter AI agent, based on Qwen3-8B, specifically engineered to simulate the complete, dynamic consultation process of a human physician. It integrates both strategic patient inquiry and accurate medical decision-making within a single framework, a significant departure from traditional static medical QA models.

Key Capabilities & Innovations

• Unified Clinical Skills: Holistically combines conversational quality (soft skills) and diagnostic accuracy (hard skills) through a dual-competency reward system.
• Experiential Reinforcement Learning: Utilizes a novel closed-loop framework where the agent continuously learns and improves from its own high-quality experiences.
• State-of-the-Art Performance: Achieves leading performance among open-source models on dynamic benchmarks such as HealthBench (36.29 Avg. Score) and MAQuE (60.00% Accuracy), even surpassing some proprietary models at a significantly smaller scale.

Ideal Use Cases

• Medical Consultation Simulation: For training and research in AI-driven patient interaction.
• Diagnostic Support Systems: As an intelligent agent to assist in preliminary patient assessment and inquiry.
• Healthcare AI Development: For developers seeking a highly capable and efficient model for complex medical dialogue and decision-making tasks.