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CAD enters digital mammography
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.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.
