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

News | Enterprise Imaging | November 14, 2018
Konica Minolta Healthcare Americas Inc. will showcase new features and tools for the Exa Enterprise Imaging platform at...
News | Neuro Imaging | November 14, 2018
Artificial intelligence (AI) technology improves the ability of brain imaging to predict Alzheimer’s disease, according...
SuperSonic Imagine Introduces Aixplorer Mach 30 Ultrasound at The Liver Meeting
Technology | Ultrasound Imaging | November 14, 2018
SuperSonic Imagine recently exhibited at The Liver Meeting, held Nov. 9-13 in San Francisco, where the company...
Researchers Awarded 2018 Canon Medical Systems USA/RSNA Research Grants
News | Radiology Imaging | November 13, 2018
The Radiological Society of North America (RSNA) Research & Education (R&E) Foundation recently announced the...
MDW Unveils First Radiology Blockchain Platform at RSNA 2018
News | Radiology Business | November 13, 2018
Medical Diagnostic Web (MDW) will debut the first radiology blockchain platform designed to connect all players in the...
Subtle Medical Showcases Artificial Intelligence for PET, MRI Scans at RSNA 2018
News | Artificial Intelligence | November 13, 2018
At the 2018 Radiological Society of North America annual meeting (RSNA 2018), Nov. 25-30 in Chicago, Subtle Medical...
ContextVision Introduces AI-Powered Image Enhancement for Digital Radiography
Technology | Artificial Intelligence | November 09, 2018
With the integration of deep learning technology, ContextVision takes digital radiography to new levels with its latest...
New Robotic Arm System Optimizes Testing of Ultrasound Probes

Image courtesy of Esaote

News | Ultrasound Imaging | November 09, 2018
Medical imaging company Esaote and The BioRobotics Institute of Scuola Superiore Sant’Anna in Pisa, Italy, have...
Ambra Health Launches Mobile App for Instant Medical Image Access
Technology | Mobile Devices | November 09, 2018
Ambra Health announced the launch of its first iOS mobile app for healthcare providers and patient access. Designed...
Figure 1

Figure 1

Feature | Information Technology | November 09, 2018 | By Jef Williams and Laurie Lafleur
Every year in late November tens of thousands of diagnostic imaging professionals from all over the globe descend upon...