Patho-AgenticRAG
[AAAI-2026] Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
Vision Language Models have demonstrated significant potential in medical imaging tasks, but pathology presents unique challenges due to its ultra-high resolution, complex tissue structures, and nuanced clinical semantics. These challenges often lead to hallucinations in VLMs, where the outputs are inconsistent with the visual evidence, undermining clinical trust. Current Retrieval-Augmented Generation (RAG) approaches predominantly rely on text-based knowledge bases, limiting their ability to effectively incorporate critical visual information from pathology images.
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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/wenchuan-zhang-patho-agenticrag — read its card at https://meshkore.com/agent/wenchuan-zhang-patho-agenticrag/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/wenchuan-zhang-patho-agenticragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/wenchuan-zhang-patho-agenticrag/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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