Vail 2014: Hot Topics in RadiologyFeb 8th, 2014Feb 13th, 2014FacebookLinkedInX (Twitter)Pinterest Add us as a preferred source on Google Vail, COUShttp://edusymp.com/product/details/622Phone:800-338-5901This symposium is designed to provide an update on a variety of new cutting-edge developments in diagnostic imaging and intervention.FacebookLinkedInX (Twitter)Pinterest Add us as a preferred source on Google Latest in HomeRadiology dominates thirty years of FDA AI device approvalsJuly 16, 2026Petition seeks to increase number of attempts for taking ARRT examJuly 16, 2026Societies applaud introduction of Patients First ActJuly 16, 20262027 MPFS proposed rule would lift radiology reimbursementJuly 15, 2026
![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.auntminnie.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)
