News | Artificial Intelligence | July 31, 2019 Artificial Intelligence Solution Improves Clinical Trial Recruitment Clinical trials are a critical tool for getting new treatments to people who need them, but research shows that… read more 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 News | Enterprise Imaging | July 29, 2019 Philips Announces 10-year Enterprise Informatics Agreement With Centre Hospitalier Régional Universitaire de Nancy Philips and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in the Grand Est… read more Related Content 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 | August 08, 2019 Half of Hospital Decision Makers Plan to Invest in AI by 2021 August 8, 2019 — A recent study conducted by Olive AI explores how hospital leaders are responding to the imperative read more 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 A nurse examines a patient in the Emergency Department of Cincinnati Children’s, where researchers successfully tested artificial intelligence-based technology to improve patient recruitment for clinical trials. Researchers report test results in the journal JMIR Medical Informatics. Image courtesy of Cincinnati Children’s. December 13, 2017 — AI Visualize Inc. debuted its new cloud-based artificial intelligence (AI)-based image analysis and viewing platform at the 2017 Radiological Society of North America (RSNA) Annual Meeting, Nov. 26-Dec. 1 in Chicago. The technology relies on evolution and deep learning algorithms to assess imaging data for diagnostically valuable information not readily apparent through conventional analysis, and transmits detailed 3-D/2-D renderings to users on any internet-enabled device. The technology assists physicians in making the most of today’s data-intensive images for more accurate and precise diagnoses. The advanced interactive platform supports X-ray, ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), 3-D tomosynthesis and digital pathology images, and provides a full range of relevant virtual image analysis tools.Eliminating the need to communicate large datasets over the internet, the new interactive AI platform processes images in the AI VoXcell cloud using powerful graphics processing unit (GPU) technology. It streams relevant information and imaging tools to users, wherever located, in real time. The same AI technology that processes images also overcomes internet bandwidth and latency limitations by using predictive buffering to provide fast transmission rates over existing communications lines.Server-side rendering eliminates the need for powerful and costly onsite graphics processors, supporting off-the-shelf supercomputing infrastructure to make the solution scalable and affordable. The AI Visualize technology is covered by 11 international patents. It is U.S. Food and Drug Administration (FDA)-cleared and HIPAA-compliant, supporting high levels of security.Other capabilities and features of the AI Cloud Visualization Platform include:VisualizationTransmitting a volume visualization dataset (e.g. a 3-D dataset) or a medical imaging dataset, including non-3-D datasets such as for pathology, for secure storage on a remote database via a security device;Utilizing servers to create virtual views of the dataset per requests from a web/internet-based client applications;Accessing the servers with the client application via a security device;Using the client application to display virtual views of the remote dataset generated remotely by the servers;Virtual views are transmitted from the server to the client device as a compressed video stream; andEnsuring the database, storage medium and servers are at a physically secured site.Cloud bandwidth and latencyDisplay of higher quality parameter frames after completing display of the lower quality parameter frames;Predictive buffering of the virtual views transmitted to client device;Delay of frame requests from the client device to the server in accordance with the latency; andEvolving compression-parameters based on an algorithm that optimizes the compression to maintain image quality (compression using artificial intelligence)Cloud visualization artificial intelligenceMachine learning algorithms may be applied to the processing of volume visualization datasets;A pattern recognizer determines whether the central application server flags an image view as normal or abnormal and identifies the anomaly in the view;A neural network model determines whether the transfer function-generated image matches the prototype image; andThe neural network employs a convolution neural network model.For more information: www.aivisualize.com FacebookTwitterLinkedInPrint分享 News | CT Angiography (CTA) | August 06, 2019 Artificial Intelligence Improves Heart Attack Risk Assessment When used with a common heart scan, machine learning, a type of artificial intelligence (AI), does better than… read more Feature | August 05, 2019 | Dave Fornell, Editor Most Popular Radiology and Radiotherapy Topics in July 2019 August 5, 2019 — Here is the list of the most popular content on the Imaging Technology New (ITN) magazine website fr read more Videos | Radiology Business | August 02, 2019 VIDEO: Key Topics for Radiology Administrators at AHRA 2019 Association for Medical Imaging Management (AHRA) President … read more Key Topics for Radiology Administrators at AHRA 2019Video Player is loading.Play VideoPlayMuteCurrent Time 0:00/Duration 7:33Loaded: 2.15%Stream Type LIVESeek to live, currently playing liveLIVERemaining Time -7:33 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 | Electronic Medical Records (EMR) | August 01, 2019 DrChrono Teams With DeepScribe to Automate Medical Note Taking in EHR DrChrono Inc. and DeepScribe announced a partnership so medical practices using DrChrono EHR can use artificial… read more Technology | Remote Viewing Systems | December 13, 2017 AI Visualize Inc. Debuts Artificial Intelligence Cloud Image Visualization Platform at RSNA 2017 Enterprise solution transmits detailed 2-D or 3-D imaging renderings to users on any internet-enabled device The top piece of content in July was a video interview explaining how Princess Margaret Cancer Center is using machine learning to create automated treatment plans. This was a hot topic at the American Association of Physicists in Medicine (AAPM) 2019 meeting in July.