Prioritising high-risk cases
Urgent studies can sit in the same queue as routine ones unless something flags them.
AI Diagnostic Triage and Radiology Workflow Platform
AI Virtual Radiologist is a Technomous product that analyses X-rays, prioritises high-risk cases and prepares preliminary reports, while every finding stays subject to clinician review.

What stood in the way.
Radiology teams need high-risk imaging cases brought forward quickly, and any AI support has to fit into an auditable workflow where clinicians review the findings.
Urgent studies can sit in the same queue as routine ones unless something flags them.
Every step from image to report needs to be traceable.
AI findings have to support, not replace, the radiologist's judgement.
How we answered it.
We built a platform that analyses X-ray images automatically, detects fractures and screens chest X-rays for pathology. It ranks high-risk cases, explains its findings, routes studies and drafts preliminary reports, all within a PACS-integrated workflow that ends with clinician review.
The parts that made the difference.
Incoming X-rays are analysed by the AI as soon as they arrive.
The platform looks for fractures in X-ray images.
Chest X-rays are screened for signs of pathology.
Cases the AI flags as high risk are moved up the worklist.
What changed for the client.
The product gives radiology teams faster triage within a workflow they can audit.
What it was built with.
Part of our AI and machine learning work.
Related projects.
The next big thing starts with a conversation.
An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.
What happens next
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