The U.K. Royal College of Radiologists (RCR) is gearing up to launch its AI registry. The central aim is to provide a comprehensive directory of all National Health Service (NHS) sites using AI tools as part of their imaging work.
The RCR said this will help with easier adoption of AI in medical imaging by informing healthcare professionals, researchers, and decision-makers of how AI applications can be used in clinical practice.
The registry is set to be completed by spring 2024 with funding by the NHS. The college said the data collection phase is currently open. It encourages people who have an AI product currently in use to fill in the RCR's survey.
For further details, go to the RCR website.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
