README.md

metadata

title: RadioFlow - AI Radiology Workflow Agent
emoji: 🩻
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.19.0
app_file: app.py
pinned: true
license: cc-by-4.0
tags:
  - medical
  - radiology
  - chest-x-ray
  - medgemma
  - hai-def
  - healthcare
  - agentic
  - multi-agent

RadioFlow: AI-Powered Radiology Workflow Agent

MedGemma Impact Challenge Submission
Targeting: Main Track + Agentic Workflow Prize

Overview

RadioFlow is a multi-agent AI system that streamlines radiology workflows by processing chest X-rays through an orchestrated pipeline of specialized agents. Built with Google's Health AI Developer Foundations (HAI-DEF) models.

Architecture

┌─────────────────────────────────────────────────────────────────┐
│                    RADIOFLOW ORCHESTRATOR                        │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐       │
│  │   Agent 1    │───▶│   Agent 2    │───▶│   Agent 3    │       │
│  │ CXR Analyzer │    │   Finding    │    │   Report     │       │
│  │              │    │ Interpreter  │    │  Generator   │       │
│  └──────────────┘    └──────────────┘    └──────────────┘       │
│         │                                        │               │
│         │                                        ▼               │
│         │                              ┌──────────────┐          │
│         │                              │   Agent 4    │          │
│         └─────────────────────────────▶│   Priority   │          │
│                                        │    Router    │          │
│                                        └──────────────┘          │
└─────────────────────────────────────────────────────────────────┘

Agents

Agent	Model	Function
CXR Analyzer	CXR Foundation	Process chest X-ray, extract features, detect abnormalities
Finding Interpreter	MedGemma	Interpret visual findings into clinical language
Report Generator	MedGemma	Create structured radiology report
Priority Router	MedGemma	Assess urgency, route to care pathway

HAI-DEF Models Used

• CXR Foundation: google/cxr-foundation
• MedGemma: google/medgemma-4b-it

Usage

1. Upload a chest X-ray image
2. (Optional) Add clinical context
3. Click "Analyze X-Ray"
4. View the generated report, priority assessment, and visualizations

License

This project is submitted under CC BY 4.0 as required by the competition.

Disclaimer

⚠️ For demonstration purposes only. Not for clinical use. This AI system requires radiologist verification before any clinical decisions.

Acknowledgments

• Google Health AI Developer Foundations team
• MedGemma Impact Challenge organizers