Doctor-in-the-Loop Medical Imaging AI
Radiologist-led. Workflow-first. NHS-ready.
We build AI that works the way radiologists do — fitting into your existing workflow, keeping the doctor in control, and making every decision auditable and accountable.
The Status Quo
The Friction in Modern Radiology
Reporting Backlogs Are Getting Worse
NHS radiology departments face growing imaging volumes with no proportional increase in consultant capacity. Delays cost lives — especially in oncology.
Most Medical AI Removes the Doctor
Autonomous AI tools blur clinical accountability. When something goes wrong, no one is responsible. Radiologists don't trust what they can't verify.
New Tools Disrupt Existing Workflows
AI that requires clinicians to change how they work gets abandoned after pilot. Adoption fails not because of technology — but because of integration.
The Doctor-in-the-Loop Approach
AI that augments — not replaces — the radiologist. Every output reviewed, signed, and owned by the clinician.
AI Prepares
Radiologx structures prior reports, flags interval changes, and drafts a report framework — before the radiologist opens the case.
Doctor Decides
The radiologist reviews, edits, and signs off. AI output is a starting point, not a verdict. Clinical accountability stays with the clinician.
System Learns
Each clinical interaction feeds back into the model — improving accuracy over time under MHRA-aligned oversight. No black box.
Our Ecosystem
Integrated Intelligence
Radiologx Workflow Copilot
A doctor-in-the-loop AI assistant for oncology and MSK radiology. Structured report drafting, follow-up comparison, and interval change alerts — embedded directly into your existing reporting workflow. Currently in NHS pilot validation.
Oncology Imaging Data & Trial Services
Regulatory-grade oncology annotation and clinical trial imaging intelligence, delivered by specialist radiologists at Tianjin Cancer Hospital with UK-standard QC, IRR reporting, and data governance. Serving medical AI companies.