ECR 2015Mar 6, 2015FacebookLinkedInX (Twitter)Pinterest Add us as a preferred source on Google Congress attendees view a Philips Healthcare software demonstration at ECR 2015. noneFacebookLinkedInX (Twitter)Pinterest Add us as a preferred source on Google Latest in HomeCT reveals severe craniofacial, ocular trauma from pager blastsJuly 20, 2026Tau PET tracer flags early Alzheimer risk in healthy older adultsJuly 17, 2026Radiologists can identify three out of four AI-generated imagesJuly 17, 2026Women's Imaging MinnieCast, Episode 13: Partial breast irradiation in the spotlightJuly 17, 2026Related StoriesSystemsPhilipsHomeTop 10 AuntMinnie stories for 2014HomeEconomics trumps clinical issues in 2014 Minnies awardsHomeEconomics trumps clinical issues in 2014 Minnies awards
![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)
