A bill introduced in the U.S. House of Representatives would ensure than women ages 40 to 49 have access to screening mammography, according to its supporters.
Introduced by Reps. Debbie Wasserman Schultz (D-FL) and Renee Ellmers (R-NC), the Protecting Access to Lifesaving Screenings (PALS) Act (HR 3339) would place a two-year moratorium on the U.S. Preventive Services Task Force (USPSTF) draft breast cancer screening recommendations, which decline to recommend screening for women ages 40 to 49.
Sponsors hope the two-year delay will provide time for those in Congress who are concerned about the effects of the proposed rule to make changes. Should USPSTF's proposed changes go into effect, more than 22 million women risk losing access to mammography, Ellmers said in a statement.
In her statement, Wasserman Shultz, who was diagnosed with breast cancer at age 41, said she considers early detection and treatment a primary goal, and that the new guidelines may fool women into thinking that they're not at risk and can wait until age 50 to begin screening.
Many groups have expressed concern about USPSTF's recommendation, including the Black Women's Health Imperative, the National Hispanic Medical Association, the National Medical Association, the Prevent Cancer Foundation, and the National Consortium of Breast Centers, the organizers said.
Passage of PALS is critical because USPSTF could act on its recommendations at any time, they added.
![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)









