Dear AuntMinnie Member,
To say that mammography is in crisis is an understatement. Low reimbursement, rising malpractice risk, and heightened public scrutiny have many mammography providers wondering whether it's worth the hassle. Recent proposals to "fix" the system by adding government testing of breast imaging providers could prompt some to pack it in altogether.
But there is hope for fixing mammography without the heavy hand of government intervention. In an editorial opinion featured this week in our Women’s Imaging Digital Community, breast imaging consultant Gerald Kolb makes a series of proposals to improve the quality of mammography interpretation without creating an undue burden on mammography centers.
Kolb’s proposals range from requiring more and different CME than is currently required to more widespread implementation of computer-aided detection (CAD). He also recommends retooling the audit process required as part of the Mammography Quality Standards Act to make it easier for centers to use audit results as part of a quality improvement plan.
The upcoming reauthorization of the MQSA provides a golden opportunity to enact these reforms, which don’t result in substantial additional burdens to providers, and should not result in diminished access for patients, according to Kolb. Read all about his recommendations in our Women’s Imaging Digital Community, at http://women.auntminnie.com.











![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)






