The U.K. Royal College of Radiologists (RCR) believes that the future of medical imaging will be directly associated with the development of artificial intelligence (AI), according to a recent blog post by Dr. Caroline Rubin, the RCR vice president for clinical radiology.
With the potential to manage massive quantities of imaging data and metadata in just a few seconds, AI can help radiologists prioritize work lists and diagnoses, Rubin said. Currently, a variety of studies led by radiologists are designed to advance imaging AI, including trials using AI software to detect cancer nodules and model pulmonary hypertension.
The RCR looks forward to collaborating with clinicians to monitor and guide the progression of imaging AI over the coming decades, Rubin said.
![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)
