Racial disparity affects breast cancer care, with nearly five black women dying needlessly per day from breast cancer in the U.S., according to a study published on Wednesday in Cancer Epidemiology as well as in the Avon Foundation Breast Cancer Forum.
The study was conducted by Sinai Urban Health Institute in Chicago and funded by the Avon Foundation for Women. It is the first national study to investigate the racial disparity in breast cancer mortality at the city level in the U.S., the Avon Foundation said.
Researchers analyzed breast cancer deaths reported between 2005 and 2007 against seven societal and ecological risk factors, including race, poverty level, and racial residential segregation. They found that societal issues such as poverty and racial inequities cause most of the disparity in death rates, and genetic factors make up a small portion of it, Avon said.
The group's findings included the following:
- 21 of the 25 largest U.S. cities have a black/white disparity in breast cancer mortality.
- 13 cities have a statistically significant disparity: New York City, Los Angeles, Chicago, Houston, Philadelphia, San Diego, Dallas, Jacksonville, Columbus, Memphis, Seattle, Boston, and Denver (ordered by population size).
- More than one black woman a week dies needlessly in both Chicago and New York City because of the racial disparity.
- Memphis has the highest disparity of the 25 largest cities.
- San Francisco has the smallest disparity of the 25 largest cities.
"When a woman believes genetics causes her disease, it breeds a sense of hopelessness and fear," said lead study author Steve Whitman, PhD. "Our study proves that black women can play an active role in reducing their risk of dying from breast cancer by getting screened and following through with treatment."









![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)






