Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection

Traj-Evolve is a self-evolving multi-agent system designed to model patient trajectories from electronic health records for early lung cancer detection. It utilizes an Experience Pool for retrieving similar cases and multi-agent reinforcement learning to optimize inter-agent collaboration.