Dear Women's Imaging Insider,
Everyone would agree that screening mammography and the modalities used to track breast cancer once it's been diagnosed aren't perfect. However, research presented at the recent American Society of Clinical Oncology Breast Cancer Symposium in San Francisco offered a few ideas for improvement.
Namely, presenters advocated the use of mobile mammography units to increase underinsured women's access to screening, as well as the use of PET/MRI to track women with metastatic breast cancer. Read our Insider Exclusive, available to you first as an Insider subscriber, to find out what the researchers from Kentucky and New York had to say.
When you're finished, check out what else is going on in the Women's Imaging Digital Community:
- Read about a new study that took the first steps toward establishing clinical benchmarks for breast MRI.
- Discover a new perspective on the debate over breast screening, fresh from this week's International Congress of Radiology in Dubai, United Arab Emirates.
- Find out what can be done to address women's lack of interest in mammography screening.
- Read what Dr. Stephen Feig from the University of California, Irvine had to say about what personalized breast cancer screening is -- and what it's not.
- Discover a simple intervention that boosts mammography screening compliance, according to researchers in Canada.
- Get the scoop on GE Healthcare's breast tomosynthesis device, which was recently cleared by the U.S. Food and Drug Administration for sale in the U.S.
As always, if you have a comment, report, or article idea to share about any aspect of women's imaging, please contact me.











![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&fit=crop&h=112&q=70&w=112)






