Dear Women's Imaging Insider,
We navigate breast cancer screening from many directions in this installment of the Insider. From the legal perspective, check out a thought-provoking opinion piece on how mammography screening is drowning under the U.S. legal system. Author René Jackson argues that a climate of malpractice litigation, high liability insurance costs, and low reimbursement has created a perfect storm for mammography screening. To read more, click here.
Meanwhile our Insider Exclusive focuses on breast cancer overseas. Korean researchers analyzed the epidemiology of breast cancer among Korean women. In the same article, you'll find a sociological analysis of the disconnect between minority women and mainstream medical institutions in Israel. Click here to learn more.
If logistics is your area of interest, the Women's Imaging Radiology Insider also offers up a case study on a U.S. mammography center that achieved smooth sailing by streamlining their patient throughput process. Also, check out an article from the European Congress of Radiology on how the BreastScreen Singapore program is faring.
Finally, on the clinical front, new research strongly indicates that the radiation dose from mammography does not contribute substantially to the burden of breast cancer in genetic mutation carriers.















![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)


