MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Understand

Medical Large Vision-Language Models (Med-LVLMs) have shown strong potential in multimodal diagnostic tasks.

• However, existing single-agent models struggle to generalize across diverse medical specialties, limiting their performance.
• Recent efforts introduce multi-agent collaboration frameworks inspired by clinical workflows, where general practitioners (GPs) and specialists interact in a fixed sequence.
• Despite improvements, these static pipelines lack flexibility and adaptability in reasoning.