AI & Generative Tech · HealthTech
AI Medical Imaging Analysis
Advanced AI-powered medical imaging analysis platform that assists radiologists in detecting abnormalities in X-rays, CT scans, and MRIs. Reduces diagnosis time by 60% and improves accuracy to 95%. FDA-approved algorithms processing 50,000+ scans monthly. The platform uses deep learning models trained on millions of anonymized medical images to identify patterns and anomalies with precision. Our solution has been validated across 20+ medical facilities, showing consistent improvement in early disease detection rates. The system integrates seamlessly with existing PACS systems and provides detailed reports with confidence scores, enabling radiologists to make faster and more accurate diagnoses.
- Client
- HealthAI Diagnostics
- Sector
- HealthTech
- Scope
- AI & Generative Tech
- Timeline
- 12 months
What we built
95% accuracy in detecting abnormalities, FDA approved, processing 50,000+ scans monthly, 60% reduction in diagnosis time
Before: Processing large DICOM files efficiently
After: Implemented optimized DICOM processing pipeline with parallel processing
Before: Achieving high accuracy across multiple imaging modalities
After: Trained ensemble models for multi-modality support
Before: Real-time inference for time-sensitive cases
After: Deployed models on GPU clusters with TensorRT optimization
Before: Integrating with existing PACS systems
After: Built HL7/DICOM integration layer for PACS connectivity
Before: Ensuring FDA compliance for medical devices
After: Established comprehensive validation and testing framework
Also in the build
- AI-powered image analysis (X-ray, CT, MRI)
- Multi-modality support
- Real-time processing (<30 seconds)
- Radiologist dashboard with annotations
- DICOM integration
- Automated report generation
- Patient portal
- Integration with PACS systems
- FDA-approved algorithms
- Quality assurance workflows
- Continual learning system
- Research collaboration tools
The stack behind it
Delivered over 12 months.
Technologies
Python · TensorFlow · PyTorch · OpenCV · NumPy · Pillow · React · Next.js · FastAPI · PostgreSQL · MongoDB · DICOM · AWS SageMaker · AWS S3 · Docker · Kubernetes · MLflow · Weights & Biases · Gradio · Streamlit
Built with
The Digiboffins services we worked through. Each one you can start with on its own.
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