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AI registry

A College-supported registry of regulatory-approved AI tools currently deployed in radiology and oncology departments across the UK.

Understanding AI deployment across UK radiology and oncology

The Royal College of Radiologists AI Registry tracks where AI is being used across UK radiology and oncology services, what difference it is making, and what can be learned. It is a resource for clinicians, regulators, and policymakers alike.

  • Follow on below to explore our registry
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The state of clinical AI in UK radiology and oncology

AI tools are now a common feature of radiology and oncology services, supporting clinical decision-making, workflow management, and administrative functions. The potential is significant — greater diagnostic accuracy, improved efficiency, and more time for patient care.

However, the picture in practice remains mixed. Our census data shows that while many centres have introduced AI tools, experiences vary considerably. Some services report clear benefits; others report little change; and some have seen workload increase.

This variation is not surprising. Deploying AI effectively is complex. Expected gains can be offset by the demands of integration, training, and adapting existing workflows. As adoption grows, services need practical, trusted guidance to move from initial deployment towards scalable, sustainable use.

Workforce Censuses

Disclaimer

Inclusion in the Registry is not an endorsement of any products. It is a listing only.

The information is provided to the best of our knowledge and has been received from AI companies and clinical staff directly. The Royal College of Radiologists does not take responsibility for any errors or omissions.

The registry was last updated on 8 July 2026