AI RESEARCH
TeamMedAgents: Pareto-Efficient Multi-Agent Medical Reasoning Through Teamwork Theory
arXiv CS.AI
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ArXi:2508.08115v3 Announce Type: replace Complex medical reasoning has historically required frontier language models to achieve clinically-acceptable accuracy, creating computational barriers that limit deployment in resource-constrained clinical settings. We present TeamMedAgents, a modular multi-agent framework that translates Salas 's evidence-based teamwork theory into computational mechanisms--shared mental models, team leadership, team orientation, trust networks, and mutual monitoring--enabling Small Language Models to perform multi-step clinical reasoning efficiently.