Dear AuntMinnieEurope Member,
A new twist occurred this week in the long-running, heated debate over the true value of mammographic screening. France-based authors published a study yesterday that analyzed mortality data from Sweden to see if mammography screening reduced deaths from breast cancer, but the accuracy of their research was immediately questioned by the Hungarian-born screening pioneer, Dr. László Tabár.
For group editor Brian Casey's report, go to our Women's Imaging Digital Community, or click here. To read Tabár's counter opinion, click here.
Teleradiology has great potential in Russia, but it has had a checkered history to date. Dr. Oleg Pianykh has a detailed knowledge of this topic, and for his frank and comprehensive assessment of the situation, visit our PACS Digital Community, or click here.
A highly original poster about food signs in radiology was presented at last month's U.K. Radiological Conference (UKRC). The authors have allowed us to publish their poster, and I'm sure you'll find it informative and entertaining. Click here to access it.
New research published by European Radiology shows that bone suppression image processing can significantly improve a radiologist's accuracy in identifying focal pneumonia on chest radiographs. Get the story in our Advanced Visualization Digital Community, or by clicking here.
Some older women present with late-stage breast cancer primarily because they are unaware of the signs and symptoms of the disease, but radiographers can help remedy the situation, according to a U.K. study that might have implications for the rest of Europe. Learn more here.
Effective treatment of acute small-bowel disorders depends on radiologists' familiarity with the CT appearances of different pathologies, as well as early and accurate diagnosis, Portuguese researchers noted at the 2012 European Society of Gastrointestinal and Abdominal Radiology congress. Read more here.
![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.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)






![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.auntminnieeurope.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)










