Latest White Papers and Case Studies
Digital Breast Tomosynthesis in Screening – Approaches to Reduce Reading Time
Ioannis Sechopoulos, PhD Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands and Dutch Expert Center for Screening (LRCB), Nijmegen, The Netherlands Abstract The development of digital breast tomosynthesis (DBT) for the detection of br
Read moreGenius AI™ Detection for Breast Tomosynthesis
Improving radiologist performance and workflow through deep learning AI applications. Ashwini Kshirsagar, Ph.D., Chief Scientist, Clinical Solutions, Research and Development, Hologic, Inc. Brad Keller, Ph.D., Director, Clinical and Scientific Affairs Breast Health, Hologic, Inc. Andrew Smit
Read morePrivate German Radiology Practice Improves Workflow and Speeds Breast Cancer Diagnostics
“ 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
Read moreSwedish-American Hospital Adopts PowerLook® Density Assessment
“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 Sw
Read moreArtificial Intelligence for Digital Breast Tomosynthesis - Reader Study Results
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 dens
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