Ultrasound developer U-Systems of Sunnyvale, CA, and George Washington University in Washington, DC, have initiated the somo-InSIGHT clinical study.
The study will examine whether full-field digital mammography (FFDM) along with the company's somo.v automated breast ultrasound system (ABUS) can improve breast cancer detection versus mammography alone in women with dense breasts.
Under the direction of principal investigator Dr. Rachel Brem, a professor of radiology and director of the Breast Imaging and Intervention Center at George Washington, researchers plan to recruit more than 20,000 women for the project.
Related Reading
U-Systems picks Medidata for clinical study, April 9, 2009
U-Systems, Siemens to collaborate, December 22, 2008
U-Systems to initiate breast US study, November 26, 2008
U-Systems taps new VP, September 18, 2007
U-Systems adds to coffers, June 27, 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)






