Radiology has been developing dramatically during the past few years. With enhancements in MRI and CT, the role of the radiologic technologist has also been changing. Skills in cross-sectional anatomy are important to help the technologist in MRI and CT to identify the anatomy being imaged and to communicate effectively with the radiologist and physicians. This webinar is offered to provide you with the opportunity to expand your knowledge of cross-sectional anatomy and its appearance in CT and MRI images. A printable download will be e-mailed to each registrant prior to each session of the webinar. This will allow you to follow along with the presentation and make notes as you feel necessary. This webinar will be presented in four two-hour sessions.
Cross Sectional Anatomy of the Body for CT and MRI
Aug 3rd, 2009Aug 12th, 2009
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![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)
