AI-Powered Healthcare Diagnostics
Diagnostic assistance for medical imaging — X-ray analysis, pathology detection and automated reporting, integrated with hospital systems.
Medical imaging diagnostics
The problem
Radiology teams facing high imaging volumes with limited specialist review capacity.
What we built
Diagnostic assistance for X-ray analysis and pathology detection, integrated directly with hospital systems.
Results
- 95% accuracy
- 95%accuracy
- Sub-500ms inference
- Sub-500msinference
At a glance
- Type
- Case study
- Status
- Private deployment
- Industry
- Healthcare
- Services used
- AI & Machine Learning
Capabilities
What this project used
The service families this build drew on — each one is something we deliver on its own.
AI & Machine Learning
Agents, generative pipelines and vision/document models that read, reason and act on your data — not demos, production systems.
Explore AI & Machine Learning
How we work
The same handover on every project
Whatever the build, the engagement ends the same way: the system is deployed to your infrastructure, documented, and transferred. You own the code and the accounts outright.
- A written scope with a fixed price and a date before any work starts
- The riskiest part built first, with weekly demos against the scope
- Deployed to your cloud, documented and transferred
- Ongoing monitoring and support for as long as you want us on it
Related work
Other projects like this one
Same sector, or built on the same capabilities.