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PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow

Researchers propose a new framework for AI pathology diagnosis that separates knowledge retrieval from evidence evaluation to reduce hallucinations. The system includes a novel experience-tracking mechanism to assess tool reliability over time, addressing critical accuracy concerns in medical AI applications.

Read full story at cs.AI updates on arXiv.orgV:0.3 · A:0.3 · D:0.4
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