Spaces:
Runtime error
Runtime error
| title: RadioFlow - AI Radiology Workflow Agent | |
| emoji: π©» | |
| 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 | |
| ``` | |
| βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | |
| β RADIOFLOW ORCHESTRATOR β | |
| βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€ | |
| β β | |
| β ββββββββββββββββ ββββββββββββββββ ββββββββββββββββ β | |
| β β Agent 1 βββββΆβ Agent 2 βββββΆβ Agent 3 β β | |
| β β CXR Analyzer β β Finding β β Report β β | |
| β β β β Interpreter β β Generator β β | |
| β ββββββββββββββββ ββββββββββββββββ ββββββββββββββββ β | |
| β β β β | |
| β β βΌ β | |
| β β ββββββββββββββββ β | |
| β β β Agent 4 β β | |
| β βββββββββββββββββββββββββββββββΆβ Priority β β | |
| β β Router β β | |
| β ββββββββββββββββ β | |
| βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | |
| ``` | |
| ## 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](https://huggingface.co/google/cxr-foundation) | |
| - **MedGemma**: [google/medgemma-4b-it](https://huggingface.co/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 | |
| β οΈ **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 | |