AINeutralarXiv – CS AI · 7h ago6/10
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Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection
Traj-Evolve introduces a self-evolving multi-agent system that models patient trajectories from longitudinal electronic health records for lung cancer early detection. The system combines an Experience Pool for retrieval-augmented few-shot learning with multi-agent reinforcement learning to optimize collaboration, outperforming nine baselines on both general and never-smoker populations.