
Research into the impact of state breast density notification laws can draw inaccurate conclusions if the studies don't take into account variations in language between different states, according to advocacy group DenseBreast-Info.org.
Several recent studies have questioned the impact of density notification laws, which require healthcare providers to notify patients if they have been found to have dense breast tissue. Such tissue can make it more difficult to detect breast cancer with x-ray-based imaging modalities; supplemental imaging with ultrasound or MRI is often recommended in these cases.
But density laws can vary greatly between states in the language they require in notification letters. For example:
- Laws in six states require letters to include only general information about breast density, without informing a patient that she herself has dense breasts.
- Another six states have laws that do not provide unambiguous language about the masking effect of cancers due to dense tissue.
- And 23 states have laws that do not mention "supplemental screening" as a topic for women to discuss with their providers.
DenseBreast-Info.org called for an analysis of the impact of laws that do contain personal density notification information compared with laws that do not require such information or with states that have no notification laws at all. The group also believes that a national reporting standard is needed in order to assure that all U.S. women receive the same minimum threshold of information.











![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)






