claude

medimageinsight

MedImageInsight MCP tools for zero-shot and adapter-based chest X-ray classification, plus a radiology report-writing agent and skills.

204 on GitHubby Microsoft Health & Life Sciencesv0.1.0MITupdated 1 month ago
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Plugin medimageinsight from marketplace healthcareai-examples in microsoft/healthcareai-examples. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (4)

  • ground-adapter

    Ground CXR findings using the trained MI2 adapter. Returns per-finding positive/possible/negative calls for the agent to use when writing the report.

  • ground-zeroshot

    Ground CXR findings using MI2 zero-shot classification. Returns per-finding probabilities bucketed into positive/possible for the agent to use when writing the report.

  • help

    Entry point for the MedImageInsight plugin, covering the getting-started walkthrough, how the skills work, what MI2 is, and troubleshooting.

  • write-report

    Read a chest X-ray end-to-end: ground findings with MedImageInsight, then write a structured radiologist report (Indication, Technique, Findings, Impression). Invoke for any "write/draft a CXR report" request.

Subagents (1)

  • Radiology Assistant

    Radiology assistant for chest X-ray reading.

MCP servers (1)

  • medimageinsight

    runs: uv run --directory ${CLAUDE_PLUGIN_ROOT}/mcp-server python server.py

View source on GitHub

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