Cancer diagnosis only works if the machine works.

radiQA make sure it does.

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The Problem

Quality assurance is critical — and quietly broken.

Mammography is the primary tool for early breast cancer detection. ~4,800 women are diagnosed with breast cancer in Denmark every year.

European guidelines require weekly QA tests — currently 2–3 hours of highly-paid specialist time per device, per cycle.

Existing tools are standalone desktop apps that require manual data handling and lack PACS integration.

The Solution

Weekly checks happen automatically in the background — specialist hours are returned to patients, and every report is compliance-ready.

Connects to hospital PACS via DICOM and automatically retrieves new phantom test images.

AI algorithms evaluate image quality against EU regulations.

Generates a compliance-ready QA report for physician review.

Tracks image quality over time and alerts staff if a scanner starts to underperform, so problems get fixed before they affect patients.

The Team

CEO & Product

Business strategy, market validation, and healthcare partnerships.

CTO & Technical Lead

Software architecture, DICOM/PACS integration, and AI algorithm development.

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.