Sunday, November 25 | 11:05 a.m.-11:15 a.m. | SSA01-03 | Room E450A
Has breast cancer screening uptake been affected by the Patient Protection and Affordable Care Act (ACA) of 2010 and the U.S. Preventive Services Task Force's 2009 guidelines? This Sunday morning presentation will address these questions.Dr. Soudabeh Dehkordy of the University of California, San Diego will share findings from a study she and colleagues conducted to investigate whether the legislation had any effect on patient co-payments for screening mammography and whether any changes influenced women's screening compliance. The group used information taken from Optum Clinformatics Data Mart from between 2004 and 2014 to evaluate utilization and cost-sharing trends by race and income level.
Overall, the ACA increased the number of women covered for screening mammography, therefore reducing their cost-sharing burden, Dehkordy's group found. Breast cancer screening utilization rates flattened or declined after 2009 across all income and racial groups except for black women, for whom screening rates increased.
"It is important to continue monitoring screening mammography utilization as healthcare policies and guidelines change, as these changes may affect disparities in screening between different racial and income groups," the researchers concluded.














![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)





