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RadMeasure

A medical measurement agent with controlled verification and repair.

HRNet landmarks · Vision-language models · KEEP / REPAIR / STOP

Python LangGraph FastAPI Status

Overview · Architecture · Getting Started · Documentation

Overview

RadMeasure measures hallux valgus angle (HVA) and intermetatarsal angle (IMA) from foot radiographs. An HRNet landmark model and a vision-language model inspect the image independently; a LangGraph controller checks their agreement and decides whether to accept, recheck, or request human review.

  • Simple web interface — upload an image and choose GPT, Claude, or Gemini.

  • Protocol-constrained actions — model requests are limited to registered definitions and tools.

  • Bounded repair — the VLM rechecks the image within an explicit retry budget.

  • Traceable decisions — retain estimates, verification reasons, and review history.

Related MCP server: signet-eval

Architecture

RadMeasure architecture: parallel landmark and VLM measurements with a KEEP, REPAIR, STOP controller

Accepted measurements come from landmark geometry. Repair revises the VLM estimate, not the landmark coordinates. Agreement alone does not establish accuracy.

Getting Started

pip install -e '.[api,prod,vision,inference]'

Follow the setup guide to configure the landmark checkpoint, comparison policy, and app access key. Start the API and worker in separate terminals:

uvicorn radmeasure.api:create_app --factory --host 127.0.0.1 --port 8000
radmeasure-worker

Open http://127.0.0.1:8000, upload an image, and enter your selected provider's Model ID and API key. Checkpoints and credentials are not bundled.


Workflow & configuration · Controller source · Provider adapters · Contributing

Research prototype; not validated for clinical use.

Available Tools

3 tools
analyze_radiographB

Run geometry checks, retrieval, citations, and tool traces for a configured case ID.

Inputs: image_id (required), top_k, question.

list_available_casesC

List case identifiers accepted by the configured backend.

Inputs: limit.

list_geomed_capabilitiesA

Describe the GeoMed backend, measurements, and limitations.

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    TDQS

    A3.6/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool serves a clearly distinct purpose: describing backend capabilities, listing available cases, and analyzing a specific radiograph. There is no overlap in functionality, making misselection unlikely.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: list_geomed_capabilities, list_available_cases, analyze_radiograph. The naming is uniform and predictable.

    Tool Count5/5

    With only 3 tools, the set is tightly scoped for the stated purpose of interacting with a GeoMed backend for case analysis. Each tool earns its place, and the count is appropriate—neither too sparse nor excessive.

    Completeness5/5

    The tool surface covers the full expected workflow: understanding the backend's capabilities, selecting a case, and performing the analysis (which includes retrieval and citations). No additional operations seem necessary for the apparent read-only analysis domain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

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