Legislation that would mandate that women be informed of their breast density has advanced in state Legislatures in both Texas and California.
In Texas, a bill has passed the House of Representatives and is on its way to Gov. Rick Perry's desk, according to Nancy Cappello, PhD, founder of Are You Dense, an organization that urges women to be informed about dense breast tissue and how it affects early detection of breast cancer.
HB 2102, known as "Henda's Law," has already passed in the state Senate. It passed in the House on May 26 and was delivered to the governor on May 30. Now, the bill's advocates have 10 days to wait to see whether Perry will sign it, veto it, or do nothing -- in which case the bill will become law anyway.
In California on June 1, a similar bill, SB 173, passed the Senate 34 to 5 and is scheduled to be heard in the California Assembly the week of June 20, according to Cappello. The bill requires that, following a mammogram, women with dense breast tissue be informed of their status, alerted that dense breast tissue can hide abnormalities on a mammogram, and told that they may wish to discuss additional screening with their doctor.









![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)





