Whether you're a new or experienced coder -- even if you've been trained in IR coding -- you can benefit from MedLearn's Basic Interventional Radiology Coding Seminar. That's because our presenter, Jeff Majchrzak, BA, RT(R), CNMT, RCC, CIRCC, brings a unique perspective to the subject, based on his incredible wealth of consulting experience. Jeff is also fanatical about keeping up with the latest rules, so you're assured of getting the most accurate and current information. See Web site for more details.
Basic Interventional Radiology Coding Seminar
Mar 17th, 2010Mar 18th, 2010
Denver, CO
US
Latest in Home
![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)
