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radioflow

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"RadioFlow demonstrates how specialized AI agents can collaborate to assist radiologists - analyzing images, interpreting findings, generating reports, and assessing priority."

THE PROBLEM (0:20 - 0:40)

[Screen: Problem statistics or simple text slide]

"Radiologists face a critical challenge: over 700 million imaging studies per year in the US alone, with burnout rates exceeding 30%."

"The manual workflow of analyzing images, writing reports, and prioritizing cases creates bottlenecks and delays."

"RadioFlow addresses this with a multi-agent AI approach."

ARCHITECTURE (0:40 - 1:10)

[Screen: Show the RadioFlow interface or architecture diagram]

"RadioFlow uses a 4-agent orchestrated pipeline."

[Point to or highlight each section]

"Agent 1, the CXR Analyzer, processes the chest X-ray image."

"Agent 2, the Finding Interpreter, uses MedGemma to translate findings into clinical language."

"Agent 3, the Report Generator, creates a structured radiology report using MedGemma."

"Agent 4, the Priority Router, assesses urgency and determines case routing - also powered by MedGemma."

"Each agent has a specific job and hands off to the next - this is agentic workflow design."

LIVE DEMO (1:10 - 2:10)

[Screen: RadioFlow Gradio interface - http://127.0.0.1:7860]

"Let me show you RadioFlow in action."

[Upload one of the sample chest X-rays]

"I'll upload a chest X-ray. You can also add clinical context like patient history."

[Type in Clinical History box: "65-year-old with cough and fever"]

[Click 'Analyze X-Ray' button]

"Now watch as the pipeline processes through each agent..."

[Wait for processing - about 15-20 seconds with real MedGemma]

"Stage 1 analyzes the image... Stage 2 interprets findings with MedGemma... Stage 3 generates the report... Stage 4 assesses priority..."

[Show the results when ready]

"In about 15 seconds, RadioFlow has produced a complete analysis."

[Click on Report tab]

"Here's the structured radiology report - generated by MedGemma with findings, impression, and recommendations."

[Show Priority section]

"The system assessed this as [READ THE PRIORITY LEVEL] priority."

[Optionally show Visualizations tab]

"The visualization shows the agent pipeline and processing metrics."

WHY THIS MATTERS (2:10 - 2:40)

[Screen: Back to main interface or impact slide]

"What makes RadioFlow special isn't just the output - it's the architecture."

"Four specialized agents, each doing one thing well, with clear handoffs between them."

"This modular design means each agent can be improved independently, debugged clearly, and scaled as needed."

"MedGemma powers the clinical intelligence - understanding medical terminology and generating professional reports."

"For production deployment, this architecture could integrate medical imaging AI like CXR Foundation for the image analysis stage."

CLOSING (2:40 - 3:00)

[Screen: Summary or final slide]

"RadioFlow: a multi-agent AI system demonstrating how specialized agents can collaborate for radiology workflow automation."

"Built with Google's MedGemma, targeting both the Main Track and the Agentic Workflow Prize."

"Thank you for watching!"

[Screen: Your name and links]

🎥 Recording Tips

Speak slowly and clearly - You have 3 minutes, no need to rush
Practice once or twice before recording
Wait for processing - The ~15 second MedGemma processing is fine to show
If something goes wrong - Just pause and retry that section
Aim for 2:45-2:55 - Leave buffer under the 3-minute limit

🛠️ Recording Tools

Mac: QuickTime Player (built-in) or OBS Studio (free)
Simple option: Loom (easy screen + audio recording)
Editing: iMovie (Mac) or DaVinci Resolve (free)

📁 Sample Images Location

Your sample X-rays are in:

/Users/samarpeetgarad/Desktop/competitions/The MedGemma Impact Challenge/sample_data/

Use any of these for the demo:

real_cxr_1.png - Good for showing opacity detection
real_cxr_2.jpg - Clear chest X-ray
real_cxr_bilateral.jpg - Shows bilateral findings
real_cxr_opacity.png - Shows opacity findings

✅ Final Checklist

Script practiced 2-3 times
Local app running and tested
Sample image ready to upload
Recording software ready
Microphone working
Notifications off
Video under 3 minutes
Uploaded to YouTube/Drive and link added to submission