In a rare collaborative venture, the U.K. Royal College of Radiologists (RCR) and the British Institute of Radiology (BIR) are working together to organize a joint conference focused on artificial intelligence (AI) and its role in radiology. The event is due to take place in London on 23 March.
Dr. Nicola Strickland, RCR president, will be a highlighted speaker, along with Dr. Hugh Harvey of King's College London and Steve Tolle of IBM Watson Healthcare.
The conference will cover topics such as the role of AI in PACS, RIS, and decision support systems, as well as clinical applications for AI, machine learning, and computer-aided diagnosis. Those interested in attending can register here.
![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)
