AI RESEARCH
ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning
arXiv CS.CL
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ArXi:2605.20176v1 Announce Type: new Large language models (LLMs) and agentic systems have shown promise for clinical decision, but existing works largely assume that evidence has already been curated and handed to the model. Real-world clinical workflows instead require agents to actively seek, iteratively plan, and synthesize multimodal evidence from heterogeneous sources. In this paper, we