Dear AuntMinnie Member,
CHICAGO - The 2010 edition of the Radiological Society of North America (RSNA) conference opened today, with radiology's showcase meeting providing a closely watched look at the health of medical imaging.
In McCormick Place, vendors nervously eyed exhibit hall corridors with traffic that seemed unusually light, even for a Sunday. But comparisons to past shows are difficult due to the use of a third exhibit hall, a new tradition that began last year.
Meanwhile, in the clinical sessions, presentations are covering some of the latest research in radiology. German researchers found PET/CT to be more suitable for early response detection of bone involvement after stem cell transplantation, with whole-body MRI as an additional predictive marker for long-term evaluation. Click here to learn more.
In another presentation, Minnesota radiologists described their participation in a statewide program to use decision-support software to reduce unnecessary imaging utilization. That article is available by clicking here.
And, a combined U.S.-German team discussed their use of computer-aided detection (CAD) software to improve the diagnosis of stenosis on coronary CT angiography (CCTA), finding that its impact on reader performance depended on the level of radiologist experience. Learn more by clicking here.
Get these stories and more in our RADCast @ RSNA, which you'll find at radcast.auntminnie.com. You can also follow us on Twitter at twitter.com/auntminnie ... be sure to check the #rsna10 hash tag.
![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)
