Class B (IEC 62304 / MDR) Tier 2 v2.1.0

radiology-medical-imaging

Diagnostic Reasoning, Laboratory & Imaging

Test in Playground GitHub

Intended Clinical Purpose

Selects appropriate imaging modalities based on clinical presentation and radiation risk vs diagnostic yield.

Prohibited Clinical Uses & Gating Boundary

Primary reading of raw radiological DICOM images

Ordering contrast in severe acute kidney injury without prophylaxis

Mandatory Input Parameters

clinical_indication patient_demographics

Deterministic Dependencies

core.clinical_calculators core.context_validator

Clinical Review Status: REFERENCE_SEED_REQUIRES_CLINICAL_SIGN_OFF

Claude Code & MCP Configuration

Add to Claude Code via MCP stdio:

$ claude mcp add radiology-medical-imaging npx medorqis --skill=radiology-medical-imaging

Skills CLI Execution

Dispatch directly to agent workspace:

$ npx skills run seotarek/MedOrqis/radiology-medical-imaging

SKILL.md & Manifest Specification YAML Frontmatter

---
name: radiology-medical-imaging
description: >-
  Medical imaging appropriateness and report analysis skill. Implements ACR Appropriateness Criteria, checks contrast nephropathy/allergy risks, and ensures radiation/pregnancy safety.
allowed-tools: bash
license: Apache-2.0
compatibility: Linux, macOS, Windows (Python 3.10+, MCP stdio, Claude Code, Gemini CLI, OpenAI)
metadata:
  version: "2.1.0...