Inspiration
We were inspired by the delays in medical scan analysis and the challenges doctors face when identifying kidney stones. We wanted to develop an AI-powered solution to assist doctors with faster scan analysis and report generation.
What it does
SCANOVA AI is an AI-powered medical scan analysis support system.
- Scan Analysis: Analyzes medical scans.
- Kidney Stone Detection: Identifies possible kidney stones.
- Location Detection: Highlights suspected stone locations.
- Stone Measurement: Estimates stone count and size when measurable.
- Image Quality Check: Identifies unclear or blurry scans.
- PDF Reports: Generates preliminary analysis reports.
How we built it
We designed a doctor-friendly web application with:
- Patient record management.
- Medical scan upload and camera capture.
- Image quality checking.
- AI-based medical image analysis workflow.
- Visual scan preview and detection markers.
- Automated PDF report generation.
Challenges we ran into
- Finding suitable medical imaging datasets.
- Handling blurry and low-quality scans.
- Achieving reliable kidney stone detection.
- Integrating AI models with the application.
- Generating meaningful analysis reports.
Accomplishments that we're proud of
- Developed the SCANOVA AI prototype.
- Designed a simple patient management interface.
- Created scan upload and preview functionality.
- Designed an automated report generation system.
- Established a foundation for AI-powered kidney stone detection.
What we learned
- Medical image processing.
- AI and machine learning integration.
- Healthcare application development.
- Database management.
- Importance of accuracy and reliability in medical AI.
What's next for SCANOVA AI – Adaptive AI-Driven Medical Scan Analysis
- Integrate a trained kidney stone detection model.
- Improve detection accuracy.
- Add automatic stone location highlighting.
- Improve stone size estimation.
- Expand medical imaging support.
- Develop a more reliable clinical decision-support system.
Note: SCANOVA AI is designed to assist doctors, not replace medical professionals. All AI-generated findings require professional medical review.
PPT Link link
Built With
- artificial-intelligence
- css
- fastapi
- google-gemini-api
- machine-learning
- mysql
- opencv
- python
- react.js
- tailwind
- typescript


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