Overview
In the realm of oncology, timely and accurate diagnostics can drastically improve patient outcomes. DEIENAMI partnered with a product company to build a robust AI-powered medical image viewer and cancer detection system for hospitals and diagnostic centers. This solution combined advanced machine learning with a user-centric interface to help radiologists and doctors detect abnormalities, including cancer markers, with greater speed and confidence.
The Problem
Hospitals and diagnostic labs were facing:
- Manual inefficiencies in scanning, annotating, and comparing radiological images
- Overburdened radiologists struggling with turnaround time and image fatigue
- Limited accuracy in early-stage cancer detection using traditional visual diagnosis
- Fragmented workflows, with image viewing and diagnosis tools operating in silos
A partner product company approached us to engineer and implement a complete system they could deploy across their hospital network clients.
Our Solution
DEIENAMI took end-to-end ownership of the backend AI engine, frontend medical image viewer, system integration, and deployment pipeline.
Key Features:
- DICOM-compatible image viewer with high-speed rendering for MRI, CT, PET scans
- AI-based cancer detection module for detecting early-stage abnormalities (trained on labeled datasets with radiologist supervision)
- Annotation & Collaboration tools to allow doctors to mark, compare, and share findings
- Intelligent Recommendations engine suggesting next diagnostic steps based on image patterns and historical data
- Audit trail & reporting for compliance and medico-legal traceability
- Integrated PACS & EHR support, reducing time spent switching systems
Why Machine Learning?
Our ML team trained multiple models to:
- Detect abnormal masses and anomalies in radiology images
- Classify tumor types and likelihood percentages
- Auto-highlight regions of interest (ROI) for faster reviews
We used:
- Convolutional Neural Networks (CNNs) for visual analysis
- Transfer learning from pre-trained medical imaging models
- A proprietary image segmentation engine to support layered views
Technology Stack
| Layer | Tech Stack |
|---|---|
| Backend AI Engine | Python, TensorFlow, OpenCV, FastAPI |
| Image Viewer | React, WebGL, Cornerstone.js (DICOM support) |
| ML Models | CNN-based pipelines, supervised learning, ROI detection |
| Storage & Integration | PostgreSQL, Amazon S3, secure DICOM storage |
| Deployment | Docker, AWS ECS, CloudWatch for logs |
| Security | HIPAA-aligned encryption, RBAC, secure API gateway |
Deployment Strategy
- Cloud-hosted deployment on AWS for scalability and hospital-wide access
- Designed for on-premise installation if needed for regulatory reasons
- Included auto model update system for improving accuracy over time
- Delivered end-user documentation, training modules, and video walkthroughs
ROI & Business Impact
| Metric | Impact |
|---|---|
| Diagnosis Time | Reduced by up to 60% |
| Accuracy | Improved early detection rates by 35% (vs traditional methods) |
| Training Time | Radiologists adopted tool in < 2 hours due to intuitive UI |
| Costs | Reduced misdiagnosis and need for repeat scans, saving millions annually across deployments |
Handover & Ongoing Support
We delivered the fully tested, containerized system to our partner product company, complete with:
- Installation & deployment scripts
- Admin and user documentation
- Test suites and performance benchmarks
- Remote support and post-launch patch cycles
- Optional AI model retraining support based on live hospital data
The product company successfully deployed the solution across multiple hospital clients, helping them offer faster, smarter, and more reliable diagnostic services.
Why DEIENAMI?
Our strength lies in:
- Product engineering with AI-first mindset
- Deep expertise in health tech, imaging, and data privacy
- Secure, compliant, and scalable deployments
- Ability to collaborate with product companies and institutional clients
- Focus on end-user usability as well as technical excellence
Want to Build AI Healthcare Products That Save Lives?
Let DEIENAMI help you bring your vision to life—be it diagnostics, health monitoring, or AI-driven decision systems.
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