Technology | Artificial Intelligence | December 14, 2017

GE and NVIDIA Unveil Artificial Intelligence Upgrades to CT, Ultrasound and Analytics Solutions

RSNA 2017 offerings highlighted by new Revolution Frontier CT, powered by NVIDIA, that is two times faster for image processing

GE and NVIDIA Unveil Artificial Intelligence Upgrades to CT, Ultrasound and Analytics Solutions

December 14, 2017 — At the 2017 Radiological Society of North America (RSNA) Annual Meeting, GE Healthcare and NVIDIA announced a series of imaging equipment advances powered by NVIDIA’s artificial intelligence (AI) computing platform. The announcements included the new Revolution Frontier computed tomography (CT) system, advancements to the Vivid E95 4-D Ultrasound and development of GE Healthcare’s Applied Intelligence analytics platform.

The new CT system in the Revolution Family is two times faster in imaging processing than its predecessor, due to its use of NVIDIA’s AI computing platform. The Revolution Frontier is U.S. Food and Drug Administration (FDA)-cleared and expected to deliver better clinical outcomes in liver lesion detection and kidney lesion characterization because of its speed – potentially reducing the need for unnecessary follow-ups, benefiting patients with compromised renal function and reducing non-interpretable scans with Gemstone Spectral Imaging Metal Artefact Reduction (GSI MAR).

NVIDIA is working with GE Healthcare to spread its application in healthcare. GPU-accelerated deep learning solutions can be used to design more sophisticated neural networks for healthcare and medical applications — from real-time medical condition assessment to point-of-care interventions to predictive analytics for clinical decision-making. For patients, the partnership aims to drive lower radiation doses, faster exam times and higher quality medical imaging.

GE Healthcare and NVIDIA also announced the following at RSNA:

  • The Vivid E95 4D Ultrasound System, on display at RSNA, uses NVIDIA GPUs to provide fast, accurate visualization and quantification while streamlining workflows across the cSound imaging platform. NVIDIA GPUs accelerate reconstruction and visualization of blood flow and improve 2-D and 4-D imaging for echo lab and interventional deployments;
  • Modules of the new Applied Intelligence analytics platform will use NVIDIA GPUs, the NVIDIA CUDA parallel computing platform and the NVIDIA GPU Cloud container registry to accelerate the creation, deployment and consumption of deep learning algorithms in new healthcare analytic applications that will be seamlessly integrated into clinical and operational workflows and equipment.

For more information: www.gehealthcare.com

Related Content

Nuance Launches Cloud-Based mPower Clinical Analytics Platform at AHRA 2018
Technology | Analytics Software | August 16, 2018
At the Association for Medical Imaging Management (AHRA) 2018 Annual Meeting and Exposition, July 22-25 in Orlando, Fla...
Doctor-Patient Discussions Neglect Potential Harms of Lung Cancer Screening
News | Lung Cancer | August 15, 2018
August 15, 2018 — Although national guidelines advise doctors to discuss the benefits and harms of...
Intel and Philips Demonstrate CPU Ability in Deep Learning Inference Test Cases
News | Artificial Intelligence | August 15, 2018
Intel and Philips recently tested two healthcare uses for deep learning inference models using Intel Xeon Scalable...
Fujifilm SonoSite Unveils Full Suite of iViz Point-of-Care Transducers

The L25v ultrasound transducer for the Fujifilm Sonosite iViz is available for superficial applications such as ophthalmic, arterial, venous, lung and nerve. Image courtesy of Fujifilm Sonosite.

Technology | Ultrasound Imaging | August 15, 2018
Fujifilm SonoSite Inc. announced the launch of two new transducers for the SonoSite iViz point-of-care ultrasound, now...
Guerbet Partners With Imalogix on Dose Optimization With Artificial Intelligence
News | Radiation Dose Management | August 14, 2018
August 14, 2018 — Guerbet LLC USA announced a commercial partnership with Imalogix, a provider of...
ACR LI-RADS Steering Committee Releases New Version of CT/MRI LI-RADS
News | Clinical Decision Support | August 13, 2018
August 13, 2018 — The American College of Radiology Liver Imaging Reporting and Data System (LI-RADS) steering commit
Exact Imaging Becomes UroGPO Imaging Partner
News | Ultrasound Imaging | August 10, 2018
Exact Imaging announced that it has become a UroGPO Imaging Partner, joining the North American urology-specific group...
Visage Signs Mercy for Visage 7 Open Archive
News | Enterprise Imaging | August 09, 2018
Visage Imaging Inc. announced that it has signed a seven-year contract with Mercy, the fifth largest Catholic health...
Videos | Radiomics | August 09, 2018
A discussion with Martin Vallieres, Ph.D., post-doctoral fellow at McGill University, Montreal, Canada.
Aidoc Receives FDA Clearance for AI Detection of Acute Intracranial Hemorrhage
Technology | Clinical Decision Support | August 08, 2018
Aidoc announced that it was granted U.S. Food and Drug Administration (FDA) clearance for the first product of its...
Overlay Init