
The U.S. Senate has passed the Making Advances in Mammography and Medical Options for Veterans Act (the MAMMO Act), a bill drawn up to expand mammography screenings for disabled female veterans.
The legislation, which now awaits further action in the House of Representatives, directs the U.S. Department of Veterans Affairs (VA) to evaluate its mammography services for disabled female veterans and ensure community-based providers who receive VA patients have accessible equipment and are informed on best practices for screening paralyzed and disabled veterans.
The group Paralyzed Veterans of America applauded the Senate for moving the bill forward, noting that women in uniform are more likely to receive a breast cancer diagnosis than their civilian counterparts.
"Regardless of their mobility capabilities, no one should have to worry if they received an insufficient exam or worse, no exam at all due to a lack of accessible medical equipment," said Paralyzed Veterans of America National Vice President Tammy Jones, in a news release.
The MAMMO Act would require the VA to improve breast cancer screening technology at all VA facilities, develop a strategic plan for breast imaging services, and collaborate with the U.S. Department of Defense on breast cancer treatment and research.
In addition, the legislation would create a telemammography pilot program for veterans in remote areas with limited access to VA facilities, upgrade and utilize 3D imaging to ensure fewer false positives and repeat scans, and improve the VA's partnerships with the U.S. National Cancer Institute.
"We now urge the House to pass this bill and end the unnecessary worry women veterans with mobility disabilities have concerning their health," Jones said.


![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=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.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)







