Is your facility feeling the staffing crunch? Have you been asked to step outside of the role of a routine radiographer and cross-train into another modality? With today's facilities maintaining patient care with minimal staff, it can place special demands on those who are required to cover multiple work areas within the diagnostic department. This course is designed for the novice or experienced technologist and will take a 2010 look at the multimodality workplace. You will be asked to take a look at yourself and find ways to polish up your professionalism. Next will be a review of how to protect yourself and the patient in both routine and higher radiation exposure work areas. In the event you administer contrast media or work with infused patients, it is important to understand how contrast media works and how to recognize reactions quickly to minimize side effects to the patient.
Keeping it Real: The Blended Technologist
Feb 19th, 2010
Bridgewater, NJ
US
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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&fit=crop&h=112&q=70&w=112)




