Dear Women's Imaging Insider,
On April 1, California's version of breast density notification legislation went into effect, making it the fifth state to implement such a law. Although the legislation is now in place, California breast imagers and mammography experts aren't so sure it's the best way to deal with the issue of assessing a woman's breast density and cancer risk.
How is the law affecting clinical practice in the state's breast centers? To find out, we spoke with California radiologists to learn how they're complying with the legislation and what it could mean for screening mammography. Click here to read more.
After you've finished reading our Insider Exclusive, which is available to you before the rest of our AuntMinnie.com members, find out what else is going on in the Women's Imaging Digital Community:
- Learn how breast MRI changes cancer treatment in women older than 60.
- Read what breast imaging expert Dr. Daniel Kopans of Massachusetts General Hospital has to say about the overdiagnosis of breast cancer.
- Consider the implications of research that shows good four-year outcomes from breast brachytherapy delivered with a strut-based applicator.
- Find out why Italian and Australian researchers believe adding 3D breast tomosynthesis to mammography finds more cancers.
- Discover how MRI adds to cancer detection in women with breast implants.
As always, if you have a comment, report, or article idea to share about any aspect of women's imaging, I invite you to 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)
