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multiagent-radiology-report
Production-grade multi-agent AI system for radiology report generation. 4 LangGraph agents (Groq vision + Qdrant RAG + Claude Sonnet report drafting + QA validation) with Grad-CAM XAI heatmaps, mandatory human-in-the-loop, MCP server, GDPR/HIPAA compliance, and full AWS deployment via Terraform. QA score: 0.91.
2stars
2forks
Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest moebouassida/multiagent-radiology-reportAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx multiagent-radiology-report
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"multiagent-radiology-report": {
"command": "uvx",
"args": [
"multiagent-radiology-report"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
multiagent-radiology-report — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt