Cancer diagnosis only works if the machine works.
radiQA make sure it does.
The Problem
Mammography quality assurance needs a better workflow.
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
Automated mammography QA, from retrieval to reporting.
Automated weekly checks save ~50 specialist hours per device each year. Long-term prediction helps staff anticipate performance issues and plan maintenance.
Retrieve
Connects to hospital PACS via DICOM and automatically retrieves new phantom test images.
Analyze
AI evaluates image quality against EU regulations and identifies trends across weekly tests.
Report
Generates a compliance-ready QA report for physician review.
Monitor & Predict
Uses long-term image quality trends to help predict declining scanner performance, so staff can plan maintenance before problems affect patients.
The Team
The team behind RadiQA mammography quality assurance.
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.
National winner — Intrapreneurship category, Denmark. Awarded by Fonden for Entreprenørskab.
In collaboration with Ústav radiačnej ochrany.
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