Cancer diagnosis only works if the machine works.
radiQA make sure it does.
The Problem
Quality assurance is critical — and quietly broken.
High Stakes
Mammography is the primary tool for early breast cancer detection. ~4,800 women are diagnosed with breast cancer in Denmark every year.
Heavy Burden
European guidelines require weekly QA tests — currently 2–3 hours of highly-paid specialist time per device, per cycle.
Disconnected Workflows
Existing tools are standalone desktop apps that require manual data handling and lack PACS integration.
The Solution
A fully automated QA workflow.
Retrieve
Connects to hospital PACS via DICOM and automatically retrieves new phantom test images.
Analyze
AI algorithms evaluate image quality against EU regulations.
Report
Generates a compliance-ready QA report for physician review.
Monitor
Tracks image quality over time and alerts staff if a scanner starts to underperform, so problems get fixed before they affect patients.
The Impact
Measurable value, end to end.
Net savings per typical hospital, per year
Physicist time redirected per device, per year
Continuous equipment monitoring
The Team
Built by people who care about better care.
Matej Šalát
CEO & Product
Business strategy, market validation, and healthcare partnerships.
Matej Mazur
CTO & Technical Lead
Software architecture, DICOM/PACS integration, and AI algorithm development.
Tomáš Dráčka
Technical Lead & UX/UI
Front-end architecture, product design, and clinical workflow integration.
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