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first_imgNews | June 25, 2009 CAD Detects Cancers on CR Mammography that Go Unnoticed Qlarity Imaging’s software is used to assist radiologists in the assessment and characterization of breast lesions. Imaging features are synthesized by an artificial intelligence algorithm into a single value, the QI score, which is analyzed relative to a database of reference abnormalities with known ground truth. Image courtesy of Business Wire. News | Breast Imaging | August 02, 2019 Volpara to Distribute Screenpoint Medical’s Transpara AI Solution Volpara Solutions and ScreenPoint Medical BV signed an agreement under which Volpara will sell ScreenPoint’s Transpara… read more Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev AI Models Predict Breast Cancer With Radiologist-level Accuracy Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly diagnosed cancer… read more News | Artificial Intelligence | June 13, 2019 iCAD Introduces ProFound AI for 2D Mammography in Europe iCAD Inc. announced the launch of ProFound AI for 2D Mammography in Europe. This software is the latest addition to… read more Technology | Mammography Reporting Software | June 12, 2019 Three Palm Software Releases WorkstationOne Version 1.8.8 Three Palm Software announced the release of the 1.8.8 version of its breast imaging workstation, WorkstationOne. This… read more June 25, 2009 – “Our research confirmed that by adding computer-aided detection, readers are better equipped to detect breast cancers that otherwise would not be identified,” said Rachel F. Brem, M.D., professor of Radiology, and vice chair of Research and Faculty Development at The George Washington University Medical Center, at the Computer Assisted Radiology and Surgery (CARS) 23rd International Congress and Exhibition being held in Berlin, Germany from June 23-27 2009.The multicenter study evaluated the performance of computer-aided detection (CAD) with computed radiography (CR) for mammography in the detection of breast cancers that had previously been missed, using iCAD’s SecondLook Digital. Dr. Brem’s findings showed that of the confirmed cancers, 55 percent were missed by at least one of the six readers. CAD correctly pinpointed 88 percent of all cancers, adding further evidence of the clinical need for CAD with CR. “Even under ideal circumstances, it can be difficult for radiologists to determine what abnormalities in a mammogram could be cancerous and warrant closer evaluation,” said Dr. Brem. In addition, special sessions on breast CAD including real-time demonstrations, panel discussions and clinical evaluations of iCAD’s technology were shared at CARS. Original research presented by Dr. Brem further supported the use of computer-aided detection as an effective breast cancer detection tool. Dr. Brem is a member of iCAD Inc.’s board of directors. For more information: www.icadmed.com FacebookTwitterLinkedInPrint分享 News | Artificial Intelligence | August 05, 2019 Montefiore Nyack Hospital Uses Aidoc AI to Spot Urgent Conditions Faster Montefiore Nyack Hospital, an acute care hospital in Rockland County, N.Y., announced it is utilizing artificial… read more IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology. News | Mammography | July 10, 2019 SimonMed Imaging Implements ProFound AI for 3-D Tomosynthesis Arizona-based SimonMed Imaging announced their implementation of the first U.S. Food and Drug Administration (FDA)-… read more Technology | Artificial Intelligence | July 18, 2019 Paragon Biosciences Launches Qlarity Imaging to Advance FDA-cleared AI Breast Cancer Diagnosis System Paragon Biosciences LLC announced the launch of its seventh portfolio company, Qlarity Imaging LLC, which was founded… read more Technology | Computer-Aided Detection Software | May 21, 2019 MaxQ AI Launches Accipio Ax Slice-Level Intracranial Hemorrhage Detection Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that Accipio Ax will begin shipping in August… read more News | Artificial Intelligence | August 13, 2019 Artificial Intelligence Could Yield More Accurate Breast Cancer Diagnoses University of California Los Angeles (UCLA) researchers have developed an artificial intelligence (AI) system that… read more News | Artificial Intelligence | July 26, 2019 Progenics Pharmaceuticals Collaborating With Veterans Affairs on AI Cancer Imaging Research Program Oncology company Progenics Pharmaceuticals Inc. announced their collaboration with the Veterans Affairs Greater Los… read more Related Contentlast_img read more

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