Computer-aided detection (CAD) developer R2 Technology has released the latest version of its mammography CAD algorithm. Version 8.0 will be incorporated across R2's ImageChecker product line, and features improved free-response receiver operating characteristics (FROC) performance.
The update provides a lower false marker rate at any given sensitivity -- for example, 1.5 false marks per normal case at the 91 percent sensitivity level, according to the Sunnyvale, CA-based firm.
R2 also expects V8.0 to improve workflow. Its EmphaSize CAD markers draw attention to mammographic features the algorithm regards as characteristic of malignancy, while its Greenlight user interface helps technologists process films quickly and monitor the progress of the film scanning from a distance, R2 said.
By AuntMinnie.com staff writers
June 3, 2005
Related Reading
R2 debuts ImageChecker 2.0 for CT, May 17, 2005
R2 adds to executive lineup, May 13, 2005
iCAD, R2 in patent dispute, April 28, 2005
Vital Images, R2 form alliance, April 26, 2005
R2 gets FDA nod for CAD with Mammomat, February 23, 2005
Copyright © 2005 AuntMinnie.com

![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=100&q=70&w=100)







![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)








