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The Radiological Society of North America (RSNA) 2018 Annual Meeting, November 25 to November 30, 2018, McCormick Place in Chicago

November 26, 2018 By EventCalendar.net

RSNA 2018 Digest

At this year’s RSNA in Chicago, Ziehm Imaging underlines its strong commitment to set new technology standards. The innovation leader in mobile X-ray imaging showcases a broad variety of C-arms to provide suitable options for surgeons’ different individual demands. The flag ship systems Ziehm Vision RFD 3D and Ziehm Vision RFD Hybrid Edition1, as well as the compact C-arm Ziehm Solo FD will be presented on the booth. All three systems are available in the CMOSline2 premium edition, the first complete CMOS portfolio in the market that ranges from compact mini C-arms to powerful high-end devices.

HeartVista, a pioneer in AI-driven autonomous MRI solutions, announced today its AI-driven, One-Click Autonomous MRI acquisition software for cardiac exams. Integrated with existing MRI scanners, the software uses Artificial Intelligence to guide image acquisition. With a single click, MRI technologists can perform a cardiac ischemia exam in less than 15 minutes using HeartVista’s AI-driven software, compared to the traditional 90-minute session.

Samsung Electronics, a leader in medical imaging technology, is showcasing its latest Ultrasound, Digital Radiography, Computed Tomography (CT), Magnetic Resonance Imaging (MRI) concept and their software innovations at the Radiological Society of North America (RSNA) 2018 Annual Meeting at McCormick Place in Chicago. “We are pleased that Samsung’s AI technologies have been successfully applied to the existing diagnostic imaging devices and have been well received in the market,” said Dongsoo Jun, President of Health & Medical Equipment Business at Samsung Electronics and CEO of Samsung Medison. “As a comprehensive diagnostic imaging solution provider, we will continue to strengthen our technologies through collaboration with hospitals and healthcare professionals. We aim to bring together radiologists and AI to fill in the gaps for improved healthcare management.”

Varex Imaging Corporation (Nasdaq: VREX) today announced it will showcase its latest X-ray imaging tubes and sources, digital detectors, connect and control devices and software solutions at the 104th Scientific Assembly and Annual Meeting of the Radiological Society of North America. This RSNA conference and exhibit will be taking place November 25 – 30 at McCormick Place in Chicago, Illinois. As Varex continues to innovate and expand its extensive product portfolio of X-ray imaging components for medical, industrial and security applications – at this year’s RSNA, Varex will introduce its new brand and campaign message: Solutions in Sight™. This new campaign highlights Varex’s ability to deliver fully-integrated customer solutions by providing customized, solution-focused communication, outreach, collaboration, and product development. At RSNA, ‘Solutions in Sight’ will showcase customer modality solutions in the areas of CT (Computed Radiography), Radiology, Mammography, C-Arm and Fluoroscopy.

United Imaging Healthcare (UIH), an international leader in advanced medical imaging and radiotherapy equipment, today announced its official launch in the United States, including the establishment of a U.S. headquarters and manufacturing facility in Houston. “The United States is the largest, and most important, medical device market in the world and we are proud to make our debut at RSNA this year – we are officially open for business in the United States!” said Dr. Xue Min, UIH’s Chairman of the Board & Chief Executive Officer.

When this year’s annual meeting of the Radiological Society of North America (RSNA) kicks off on Nov. 25, Hyland Healthcare will invite radiologists to “SEE your whole patient.” Hyland will unveil a host of enhancements to its portfolio of enterprise imaging solutions, and preview ImageNext, a new enterprise workflow orchestration platform launching in early 2019.

Perspectum Diagnostics is showcasing the latest version of LiverMultiScan and its newest product, MRCP+, at the 104th Annual Radiological Society of North America (RSNA) meeting, November 25-30, 2018 (South Hall #3975). The company is hosting two reading rooms to demonstrate the latest quantitative biomarkers for liver and hepatobiliary disorders. QIRR (011) shows the use of multiparametric MRI, the technology underpinning LiverMultiScan, to quantitively analyse liver tissue. This latest version of this technology is slated for release early next year, which will enable radiologists to have access to state-of-the-art, PDFF-based method for hepatic fat quantification, LiverMultiScan IDEAL (LMS IDEAL). Additional features include machine learning-based, automatic segmentation of cT1 and PDFF parametric maps of the liver parenchyma, generated by Perspectum’s deep learning algorithms based on initial work published by Irving et al (2017). These new additions to LiverMultiScan, which originally received FDA clearance in 2015, will be accessible on more field strengths across major scanner manufacturers (including GE 3T).

Fovia, Inc., a world leader in advanced visualization technology and the developer of High Definition Volume Rendering® and XStream® HDVR®, today announced the release of a new artificial intelligence visualization platform, F.A.S.T.® AI Suite. F.A.S.T. AI Suite bridges the gap between the thousands of AI algorithm developers seeking efficient distribution and the many PACS and Universal Viewer companies seeking a streamlined way to visualize and deliver meaningful AI results to radiologists and physicians.

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its innovations in radiology to enable precision diagnosis and enhance productivity at the 2018 Radiological Society of North America Annual Meeting (RSNA). At the meeting, Philips is highlighting its new portfolio of innovative imaging systems, intelligent software applications and associated services. These solutions connect people, data and technology and have been designed to meet the requirements of the quadruple aim: improved outcomes, enhanced patient experience, increased staff satisfaction and lowered cost of care delivery. “As healthcare continues to transform from a volume- to a value-based approach, and the amount of data available for each clinical decision dramatically grows, our customers are seeking more seamless, integrated solutions to enable more precise diagnosis and treatment,” said Robert Cascella, Chief Business Leader Diagnosis & Treatment, Philips. “We’ve accelerated our pace of innovation, with 70% of our Diagnostic Imaging portfolio renewed within the past two years. We’re also harnessing the power of artificial intelligence across the imaging enterprise, from improving workflow to supporting clinical decisions.”

The performance of QVCAD, the first AI CAD system FDA-Approved for concurrent reading of Automated Breast Ultrasound (ABUS) exams, will be covered in research presented at the 104th Annual Radiological Society of North America (RSNA) meeting, November 25-30, 2018 (South Hall #3572). In the study, “Comparison of Automated Breast Ultrasound (ABUS) QVCAD Standalone Performance on Somo•v and Invenia Cases (BR253-SD-TUB7, Tuesday, November 27, 12:45-1:15 PM, BR Community, Learning Center, Station #7), researchers evaluated QVCAD standalone performance on somo•v and Invenia ABUS cases. The study was designed to build on a previous observer study had been performed with somo•v cases and to infer likely effect of QVCAD on Invenia cases. The study involved 164 somo•v (31 with cancer) and 145 Invenia (25 with cancer) cases, all of BI-RADS density C or D. Area under ROC curve (AUC), per-patient sensitivity and specificity, and false-positives per volume were compared. Results showed that somo•v and Invenia results were comparable and QVCAD standalone performance is comparable on somo•v and Invenia cases. The results suggest that the benefit of QVCAD for reducing reading time and producing non-inferior reader performance can be expected on Invenia cases.

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