The European Society of Radiology (ESR) and the European School of Radiology (ESOR) are hosting a two-day meeting on artificial intelligence (AI) between 5 and 6 April in Barcelona, Spain.
The event will focus on the basic technical principles and concepts of AI and how they are applied to diagnostic imaging and clinical applications. It will also cover the basic concepts of machine and deep learning, the type and consistency of imaging data processed by AI tools, and the technology's main potential and emerging applications in radiology, according to the organizations.
AI luminary Toby Walsh of the University of New South Wales and Australian research network Data61 will give a keynote lecture on AI and radiology and will also join a panel on the future of radiology and radiologists, the ESR and ESOR said.
In addition, an image interpretation competition between radiologists and computers will be held in the final session. Registration is available now on the ESR's 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)
