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first_img News | Digital Radiography (DR) | July 23, 2019 Konica Minolta and Shimadzu to Co-market Dynamic Digital Radiography in the U.S. Konica Minolta Healthcare Americas Inc. along with Shimadzu Medical Systems USA announced a collaborative agreement to… read more Videos | Radiographic Fluoroscopy (RF) | August 09, 2019 VIDEO: Demonstration of the Shimadzu FluoroSpeed X1 Radiographic Fluoroscopy System Shimadzu displayed the FluoroSpeed X1 conventional radiographic fluoroscopy (RF) system at the Association for Medica read more FacebookTwitterLinkedInPrint分享 News | Artificial Intelligence | July 29, 2019 New AI Tool Identifies Cancer Outcomes Using Radiology Reports Scientists at Dana-Farber Cancer Institute have demonstrated that an artificial intelligence (AI) tool can perform as… read more Related Content 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 February 28, 2011 – Results from a study comparing two versions of computer-aided detection (CAD) technology have been published on the European Society of Radiology’s website. The study, which compared Riverain Medical’s OnGuard 1.0 and OnGuard 5.1, found that radiologists using OnGuard 5.1 were able to detect smaller lung nodules, including those that were primary lung cancer. “By using OnGuard 5.1 in tandem with a standard chest X-ray, our radiologists are now able to detect smaller lung nodules that would have previously gone unnoticed,” said Matthew Freedman, M.D., principal investigator of the study and associate professor of oncology at the Lombardi Comprehensive Cancer Center at Georgetown University in Washington, D.C. “It’s clear from our research that OnGuard CAD technology has improved significantly over the past 10 years. Improved sensitivity and a lower false positive rate allow radiologists to detect early-stage lung cancer sooner, giving them more confidence in diagnosing the patient.” Fifteen radiologists participated in the reader study, which analyzed more than 250 chest X-rays (approximately a 2:1 cancer negative to positive ratio). Compared to its previous version, investigators found OnGuard 5.1 provided nearly 50 percent higher machine sensitivity for cancer detection, while significantly reducing the number of false positives per image. “Initial results of the National Lung Screening Trial demonstrate for the first time that the early detection of lung cancer can save lives,” said Steve Worrell, chief technology officer of Riverain Medical. “We’re excited to play a key role in the early detection of lung cancer. OnGuard’s CAD markings give radiologists a second set of eyes, allowing radiologists to find cancerous nodules at their earliest and most treatable stage.” For more information: www.riverainmedical.com Technology | Radiographic Fluoroscopy (RF) | August 09, 2019 Shimadzu Medical Systems Receives FDA 510(k) for FluoroSpeed X1 RF System Shimadzu Medical Systems USA, a subsidiary of Shimadzu Corp., announced they have received U.S. Food and Drug… 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 center_img Shimadzu FluoroSpeed X1 Walkaround AHRA 2019Video Player is loading.Play VideoPlayMuteCurrent Time 0:00/Duration 1:25Loaded: 11.42%Stream Type LIVESeek to live, currently playing liveLIVERemaining Time -1:25 Playback Rate1xChaptersChaptersDescriptionsdescriptions off, selectedCaptionscaptions settings, opens captions settings dialogcaptions off, selectedAudio Trackdefault, selectedFullscreenThis is a modal window.Beginning of dialog window. 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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 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 | 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 News | February 28, 2011 Study Shows Improved Detection of Lung Cancer With CAD Technology 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 Technology | Digital Radiography (DR) | July 25, 2019 Samsung Announces New iQuia Premium Digital Radiography Platform Samsung has announced iQuia, a new digital radiography (DR) platform of premium products and technologies that improves… read more last_img

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