GE & NVIDIA Partner for Healthcare
November 28, 2017
The company that made its name in gaming and driverless cars is
expanding its footprint in healthcare, with a partnership announced
The average hospital creates 50
petabytes of data per year. For context, that’s equivalent to 20 million
four-drawer filing cabinets filled with text or 13.3 years of HD-TV
video. It’s a lot of information, and more than 97 percent of it goes
unanalyzed or unused.
But healthcare’s big data challenge may soon meet its match. Artificial
Intelligence – the technology that mimics the human brain – has proven
that it has the potential to see the unseen, answer questions that had
never even been asked, and consume information previously impossible for
clinicians to digest.
That’s why GE Healthcare and NVIDIA say they are deepening their 10-year
partnership to bring the most sophisticated AI to GE Healthcare’s
500,000 imaging devices globally and accelerate the speed at which
healthcare data can be processed.
which has helped pioneer the spread of AI across a growing range of
fields, including self-driving cars, robotics and video analytics, 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.
“Our partnership with GE Healthcare brings together great expertise in
medical instruments and AI to create a new generation of intelligent
instruments that can dramatically improve patient care,” said Jensen
Huang, founder and CEO of NVIDIA.
Among the devices to first be embedded with the latest AI technology is
GE Healthcare’s new CT system in the Revolution Family. The Revolution
Frontier CT is two times faster in imaging processing than its
predecessor, due to its use of NVIDIA’s AI computing platform. It also
is 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, benefitting
patients with compromised renal function, and reducing non-interpretable
scans with Gemstone Spectral Imaging Metal Artefact Reduction (GSI MAR).
An image from a Revolution CT
GE Healthcare’s Vivid E95 4D
Ultrasound System also 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 2D and 4D imaging for Echo Lab
and Interventional deployments.
modules of GE Healthcare’s new 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.
“Healthcare is changing at remarkable speed, and the technologies that
will transform the industry should reflect that pace,” said Kieran
Murphy, President and CEO of GE Healthcare. “By partnering with NVIDIA,
GE Healthcare will be able to deliver devices of the future –
intelligent machines capable of empowering providers to improve the
speed and accuracy of diagnoses for patients around the world.”