Yuyin Zhou releases ClinSeekAgent, an open-source clinical AI agent that seeks its own evidence
Zhou's team links raw EHR, web, and chest X-ray tools, and reports open-source SOTA after distilling Claude Opus 4.6 into a 35B model.
By Ryan Merket · Published
Primary source: X
Why it matters
Most clinical AI work evaluates on curated inputs; ClinSeekAgent instead automates evidence seeking across EHRs, web, and imaging and shows reported gains, then distills that behavior into an open 35B model.
Yuyin Zhou (@yuyinzhou_cs) introduced ClinSeekAgent, an automated agentic framework for multimodal evidence seeking in clinical AI, in a thread on X. The push is simple but pointed: stop handing models curated packets of evidence and make them find, weigh, and link the facts themselves.