The FDA has cleared for marketing three computer-assisted detection technologies developed by iCAD: iDM, which works with Fischer Imaging's SenoScan full-field digital mammography system; iAD, a full-featured stand-alone unit, and iQ, a low-cost
The FDA has cleared for marketing three computer-assisted detection technologies developed by iCAD: iDM, which works with Fischer Imaging's SenoScan full-field digital mammography system; iAD, a full-featured stand-alone unit, and iQ, a low-cost stand-alone unit. Following the FDA approvals, iCAD and Fischer announced an expanded development and distribution agreement that includes the new iAD product, which reads digitized mammography films. iCAD, located in Nashua, NH, plans to market the device to women's health centers and breast clinics that perform fewer than 20 mammography procedures a day.
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.