The U.K. Royal College of Radiologists (RCR) announced it will help establish a framework for the use of artificial intelligence (AI) in the fields of clinical radiology and oncology.
Its principal focus will be on four areas of work:
- Defining AI and related terms
- Setting up a regulatory framework for AI in healthcare
- Ensuring quality for the implementation of AI by using standards to validate data and algorithms
- Facilitating collaboration among clinicians, patients, academic communities, industry, and the U.K. National Health Service (NHS) and its stakeholder organizations
Furthermore, the RCR hopes to work with those seeking grant funding through U.K. Research and Innovation for the development of medical AI.
![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)
