News | Artificial Intelligence | April 27, 2018

NVIDIA, Canon Medical Systems Partner to Accelerate Deep Learning in Healthcare

Medical imaging vendor teaming with graphics processing unit developer NVIDIA to launch AI solution to mine healthcare data

NVIDIA, Canon Medical Systems Partner to Accelerate Deep Learning in Healthcare

April 27, 2018 — Computer technology company NVIDIA and Canon Medical Systems announced a new partnership to develop the research infrastructure for enhanced artificial intelligence (AI) in healthcare. The partners hope to make a significant contribution to promoting the use of data-intensive deep learning techniques in medical and related research, as well as to drive the uptake of AI in the healthcare sector.

According to NVIDIA, the healthcare sector needs to analyze scientific reports from around the world, while simultaneously coordinating a variety of patient data to determine the most appropriate treatment options. Given the huge volumes of data involved, big data analysis via deep learning will play a major role in the development of optimized healthcare delivery systems and support early detection and assisted diagnosis.

At the same time, medical institutions wanting to use deep learning for independent research need hardware for analysis, systems for the collection, collation and analysis of in-house data, and knowledge of deep learning processes and techniques.

Canon Medical Systems will use NVIDIA DGX systems to process large volumes of medical data generated by Abierto VNA (vendor neutral archive), the proprietary, in-house medical data management system it launched in January.

DGX systems feature NVIDIA Tesla data center graphics processing units (GPUs) powered by the Volta advanced GPU architecture. Among the portfolio is NVIDIA DGX Station, an AI workstation that has the computing capacity of four server racks in a desk-friendly package, while consuming only 1/20 the power.

The systems include NVIDIA’s specially optimized AI software and Canon Medical System’s graphical user interface, which provides full support for the design, deployment and operation of advanced deep learning algorithms.

Deep learning usually requires extensive programming and data science skills. However, the system from Canon Medical Systems and NVIDIA guides users through all the steps involved in the deep learning process, from generating training data with the image viewer to setting up the NVIDIA learning environment.

For more information: www.us.medical.canon

 

Related Content

Machine Learning IDs Markers to Help Predict Alzheimer's

Neurologists use structural and diffusion magnetic resonance imaging (MRI) to identify changes in brain tissue (both gray and white matter) that are characteristic of Alzheimer's disease and other forms of dementia. The MRI images are analyzed using morphometry and tractography techniques, which detect changes in the shape and dimensions of the brain and in the tissue microstructure, respectively. In this example, the images show the normal brain of an elderly patient. Image courtesy of Jiook Cha.

News | Neuro Imaging | September 20, 2018
New research has shown a combination of two different modes of magnetic resonance imaging (MRI), computer-based...
LVivo EF Cardiac Tool Now Available for GE Vscan Extend Handheld Mobile Ultrasound
Technology | Cardiovascular Ultrasound | September 19, 2018
DiA Imaging Analysis Ltd. (DiA), a provider of artificial intelligence (AI)-powered ultrasound analysis tools,...
Exact Imaging Partners to Improve Prostate Cancer Detection With Artificial Intelligence
News | Prostate Cancer | September 19, 2018
Exact Imaging, makers of the ExactVu micro-ultrasound platform, has partnered with U.K.-based Cambridge Consultants to...
SimonMed Deploys ClearRead CT Enterprise Wide
News | Computer-Aided Detection Software | September 17, 2018
September 17, 2018 — National outpatient physician radiology group SimonMed Imaging has selected Riverain Technologie
SmartCurve technology, a revolutionary breast imaging technology designed specifically for the curvature of the female breast to provide every woman with a more comfortable and accurate mammogram.
News | Mammography | September 14, 2018
Solis Mammography declared September Breast Wellness Month a
At RSNA 2018, radiology professionals will discover intelligent radiography powered by MUSICA, at Agfa's booth.

At RSNA 2018, radiology professionals will discover intelligent radiography powered by MUSICA, at Agfa's booth.

News | Digital Radiography (DR) | September 13, 2018
At RSNA 2018, radiology professionals will discover intelligent
Gadolinium contrast agents (GBCAs) are partly retained in the brain, raising safety concerns, as seen in this MRI.

Gadolinium contrast agents (GBCAs) are partly retained in the brain, raising safety concerns, as seen in this MRI.

News | Contrast Media | September 12, 2018
In February 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Maryland, to explore co
Acuson Sequoia
News | Ultrasound Imaging | September 12, 2018
Siemens Healthineers announced the first global installation of its newest ultrasound system, the...
Lightvision near-infrared fluorescence imaging system
News | Women's Health | September 11, 2018
Shimadzu Corp.