Ultrasound developer U-Systems and the University of Kansas Breast Imaging Center in Kansas City have initiated the somo-InSIGHT clinical study.
Led by radiologist Dr. Marc Inciardi, the first participants have been enrolled in the study, which will examine whether digital mammography with the somo.v automated breast ultrasound system (ABUS) is more sensitive in detecting breast lesions than mammography alone in women with dense breasts.
Researchers plan to recruit more than 20,000 women into the study, which includes George Washington University in Washington, DC, according to U-Systems of Sunnyvale, CA.
Related Reading
U-Systems begins ABUS study, April 13, 2009
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
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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)





