Healthcare: AI‑Powered Medical Image Analysis
Enabling faster, more accurate radiology triage with AI
A radiology network needed to reduce reporting time while improving diagnostic consistency across modalities. We designed an AI pipeline for detection and triage with seamless PACS/RIS integration and clinician-friendly overlays.
- Industry
- Healthcare
- Duration
- 12 weeks
- Engagement
- Model Dev + MLOps
- Team
- ML, MLOps, FE
The Hidden Cost of Manual Radiology
Despite skilled radiologists, the network faced mounting pressure from increasing case volumes and inconsistent turnaround times.
- DICOM variability across scanners combined with strict HIPAA/GDPR privacy requirements made data handling complex
- Rare pathologies created severe class imbalance, requiring careful model calibration to avoid dangerous false negatives
- Real-time GPU inference was essential for clinical workflows, but existing infrastructure couldn't support it
A Secure, Intelligent Imaging Pipeline
We built a secure DICOM pipeline, trained UNet/ResNet-based models with MONAI, and deployed GPU-backed inference services with human-in-the-loop review for maximum clinical safety.
Data Pipeline & Anonymization
Built HIPAA-compliant DICOM ingestion with automatic anonymization, quality assurance, and intelligent augmentation.
Model Development
Trained UNet/ResNet ensemble with rigorous cross-validation, probability calibration, and drift monitoring.
Production Deployment
Deployed TorchScript models via Triton serving, integrated with PACS/RIS, and built clinician-facing dashboards.
Transforming Radiology Workflows
The AI system now assists radiologists 24/7, dramatically improving both speed and accuracy.
- Radiologists now focus on complex cases while routine findings are surfaced instantly
- Critical findings flagged within seconds, enabling faster patient intervention
- Human-in-the-loop validation ensures AI recommendations are always clinician-approved
Approach & Architecture
Our radiologists now focus on complex cases while routine findings are surfaced instantly. Triage times dropped significantly with fewer misses.
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