Dear Advanced Visualization Insider,
If you enjoy learning about computer-aided detection (CAD) research, Chicago's McCormick Place was the place to be last week. Attendees of the 2005 RSNA meeting were presented with approximately 130 scientific papers related to CAD at the show.
In our initial coverage from the meeting, we report on breast MRI CAD research from the University of Washington Medical Center in Seattle. A UW research team found that the use of CAD was able to improve specificity by as much as 23%.
As an Advanced Visualization Insider subscriber, you have access to this Insider Exclusive article before it is published for the rest of our AuntMinnie.com members. To read about the UW research, click here. And stay tuned for more advanced visualization coverage from the RSNA meeting in the coming weeks.
Do you have a topic you'd like to see covered, or are you interested in submitting an article to AuntMinnie.com? Please feel free to drop me a line.
![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)
