GE Healthcare has signed a multiyear research agreement with the University of North Carolina (UNC) at Chapel Hill, teaming up to establish a Center for Research Excellence in Breast Cancer Imaging within UNC's Biomedical Research Imaging Center (BRIC).
With funding provided by GE, the center will perform breast imaging research, including an evaluation of the role of contrast-enhanced mammography in breast cancer diagnosis, the development of image processing in digital mammography, and mechanisms to reduce radiation dose to mammography patients, according to the Chalfont St. Giles, U.K.-based vendor.
An advisory board of GE and UNC representatives will consult on the center's research, education, and service agenda.
By AuntMinnie.com staff writers
March 6, 2007
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![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)






