Multimodality vendor Siemens Medical Solutions has installed a prototype of its MammoMat NovationDR full-field digital mammography (FFDM) system at the Iris Cantor Center for Breast Imaging at the University of California, Los Angeles. The system uses an amorphous selenium flat-panel detector that permits a direct conversion of x-ray energy to digital data, according to the Malvern, PA-based firm.
MammoMat NovationDR is undergoing a UCLA internal review board-approved clinical study comparing the diagnostic content and image quality of analog and digital images taken at the same radiation exposure level. The system is planned for release by the end of 2003 outside the U.S.; availability inside the U.S. is pending Food and Drug Administration review and approval.
By AuntMinnie.com staff writersJanuary 15, 2003
Related Reading
Siemens hits Soarian milestone, December 11, 2002
New Siemens products include 16-slice PET/CT scanner, December 2, 2002
PACS firms integrate, broaden product lines, Part III, November 18, 2002
Siemens Medical earnings soar, November 14, 2002
Siemens reorganizes sales force, October 30, 2002
Copyright © 2003 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=112&q=70&w=112)






