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

Sponsored Content | Videos | Enterprise Imaging | February 19, 2020
Bill Lacy, vice president, Medical Informatics at FUJIFILM Medic...
Recognized as the “Pulitzer Prize of the business press,” the Jesse H. Neal Award finalists are selected for exhibiting journalistic enterprise, service to the industry and editorial craftsmanship
News | Radiology Business | February 19, 2020
February 19, 2020 — Connectiv, a division of The Software and Information Industry Association (SIIA), has announced
The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S.
The Candelis ImageGrid Plus PACS Server is an ultra-high-performance platform that can support high volume healthcare environments of 1,000 plus modalities
News | PACS | February 12, 2020
February 12, 2020 — The Candelis ImageGrid Plus...
Varian announced it has received FDA 510(k) clearance for its Ethos therapy, an Adaptive Intelligence solution. Ethos therapy is an artificial intelligence (AI)-driven holistic solution that provides an opportunity to transform cancer care.
News | Image Guided Radiation Therapy (IGRT) | February 11, 2020
February 11, 2020 — Varian announced it has received FDA 510(k) c
PaxeraHealth enterprise imaging, PACS, VNA solutions
News | Enterprise Imaging | February 11, 2020
February 11, 2020 — Enterprise Imaging developer PaxeraHealth
Mammograms of a 49-year-old woman with invasive lobular carcinoma on the right-side breast

Mammograms of a 49-year-old woman with invasive lobular carcinoma on the right-side breast. A small mass with micro-calcifications on the right-side breast was detected correctly by AI with an abnormality score of 96%. This case was recalled by 7 out of 14 radiologists (4 breast radiologists and 3 general radiologists) initially (without AI) and all 14 radiologists recalled this case correctly with the assistance of AI.

News | Artificial Intelligence | February 11, 2020
February 11, 2020 — A new study, published in...
An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019.

An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019. Photo by Dave Fornell.

Feature | Artificial Intelligence | February 07, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
Sponsored Content | Videos | Artificial Intelligence | February 07, 2020
At RSNA19, GE Healthcare introduced its...