Genetic Testing for Older Women with Breast Cancer
New Stanford-led research finds that about 1 in 40 postmenopausal women with breast cancer are as likely as Ashkenazi Jewish women to carry... Read more
Tomosynthesis Consistently Outperforms Digital Mammography
Digital breast tomosynthesis (DBT) has outperformed digital mammography (DM) over a five-year period, according to a new study published in... Read more
AI+Radiologist: Improved Screening Interpretation
Quality of breast cancer screenings can be improved through utilisation of AI algorithms, but it is necessary for human radiologists to participate... Read more
Suppressing Breast Cancer Metastasis
Researchers studying proteins that regulate alternative splicing events linked to metastasis report breakthrough findings that could lead... Read more
Dense Breasts: Supplemental Screening Trends
Most radiology practices in the U.S. implement supplemental screening, but modalities and referral methods are variable. These... Read more
Latest Journals
White Papers and Case Studies
Private German Radiology Practice Improves Workflow and Speeds Breast Cancer Diagnostics
2020 19 May
“ iCAD ’s ProFound AI ™ solution has had a significant impact on our workflow. We are able to immediately react if we see something suspicious in a scan alleviating anxiety for our patients. Using the solution will allow us to expand DBT beyond diagnosis because it enables our radiologists to read as many tomosynthesis cases as we... Read more
Swedish-American Hospital Adopts PowerLook® Density Assessment
2020 19 May
“Installing PowerLook ® Density Assessment has helped improve the workflow of our department and also in the education of our patients about the importance of knowing your breast density,” Adrea Bennett, Center for Women Supervisor, Swedish-American Hospital Summary Swedish-American Hospital (SAH), a division of UW Health,... Read more
Artificial Intelligence for Digital Breast Tomosynthesis - Reader Study Results
2020 19 May
Abstract ProFound AI™ is the latest artificial intelligence algorithm developed by iCAD , Inc., Nashua, NH using deep learning technology that is intended to be used concurrently by radiologists while reading digital breast tomosynthesis (DBT) exams. The algorithm detects soft tissue densities (masses, architectural distortions and asymmetries)... Read more
