Elizabeth Grieger[email protected]Radiologic TechnologistDoes your radiology recruitment strategy account for technology?Technology should be at the forefront of recruiting efforts for radiologic technologists, according to a new column from Elizabeth Grieger of Cassling.August 20, 2023Page 1 of 1Top StoriesMolecular ImagingTau PET tracer flags early Alzheimer risk in healthy older adultsFew studies have investigated how F-18 PI-2620 is associated with memory performance or AD-related biomarkers in cognitively unimpaired older adults.AIRadiologists can identify three out of four AI-generated imagesWomens ImagingWomen's Imaging MinnieCast, Episode 13: Partial breast irradiation in the spotlightAIRadiology dominates thirty years of FDA AI device approvalsRadiologic TechnologistPetition seeks to increase number of attempts for taking ARRT exam
![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)
