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cs.AI2026
Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care
Burcu Sayin, Ngoc Vo Hong, Ipek Baris Schlicht +8
Clinical decision-making in emergency medicine demands rapid, accurate diagnoses under uncertainty. Despite benchmark progress, evidence for LLMs as interactive aids in live physic…
cs.AI2026
Process-Supervised Multi-Agent Reinforcement Learning for Reliable Clinical Reasoning
Chaeeun Lee, T. Michael Yates, Pasquale Minervini +1
Clinical decision-making requires nuanced reasoning over heterogeneous evidence and traceable justifications. While recent LLM multi-agent systems (MAS) show promise, they largely…