The European Society of Radiology (ESR) and the European School of Radiology (ESOR) reported that more than 5,800 individuals from 140 countries registered for a livestream of the groups' artificial intelligence (AI) educational event held in Barcelona, Spain, on 5-6 April.
The educational event featured a series of lectures about AI technology in relation to radiology, given by more than 28 speakers from different professions. AI expert Toby Walsh, PhD, from the University of New South Wales delivered the keynote speech, which centered on the application of deep and machine learning in radiology.
"As our world has become more globally connected, the opportunities to offer education to a wider audience have grown significantly," Dr. Lorenzo Derchi, chairman of the ESR Board of Directors, said in a statement. "The success of our AI event ... proves that there is real demand for these services."
![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)
