AI RESEARCH
Agentifying Patient Dynamics within LLMs through Interacting with Clinical World Model
arXiv CS.LG
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ArXi:2605.14723v1 Announce Type: cross Sepsis management in the ICU requires sequential treatment decisions under rapidly evolving patient physiology. Although large language models (LLMs) encode broad clinical knowledge and can reason over guidelines, they are not inherently grounded in action-conditioned patient dynamics. We