Computer-aided detection software developed by R2 Technology can now be marketed as an integral part of the GE Senographe 2000D full-field digital mammography system, following FDA approval. This is the latest step in R2's pioneering efforts to make CAD
Computer-aided detection software developed by R2 Technology can now be marketed as an integral part of the GE Senographe 2000D full-field digital mammography system, following FDA approval. This is the latest step in R2's pioneering efforts to make CAD a routine part of medical practice. The FDA approved the company's ImageChecker, a stand-alone CAD workstation, in 1998 for use with film-based screening mammography. Three years later the FDA expanded approval to include its use with diagnostic mammograms. R2 has shipped more than 400 film and digital-based systems worldwide. More than three million women have had their mammograms interpreted with the aid of the ImageChecker CAD system. Nearly 300 Senographe 2000D systems have been installed in the U.S. All are upgradable to R2's CAD technology.
AI-Initiated Recalls After Screening Mammography Demonstrate Higher PPV for Breast Cancer
March 18th 2025While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.
ECR Mammography Study: Pre-Op CEM Detects 34 Percent More Multifocal Masses than Mammography
February 28th 2025In addition to contrast-enhanced mammography (CEM) demonstrating over a 90 percent detection rate for multifocal masses, researchers found that no significant difference between histological measurements and CEM, according to study findings presented at the European Congress of Radiology.
Study: Mammography AI Leads to 29 Percent Increase in Breast Cancer Detection
February 5th 2025Use of the mammography AI software had a nearly equivalent false positive rate as unassisted radiologist interpretation and resulted in a 44 percent reduction in screen reading workload, according to findings from a randomized controlled trial involving over 105,000 women.