GE Healthcare turns to Nvidia for AI boost in medical imaging

Nov. 27, 2017

GE Healthcare is set to speed up the time taken to process medical images, thanks to a pair of partnerships announced on Nov. 26.

GE will team up with Nvidia to update its 500,000 medical imaging devices worldwide with Revolution Frontier CT, which is claimed to be two times faster than the previous generation image processor.

GE said the speedier Revolution Frontier would be better at liver lesion detection and kidney lesion characterization, and has the potential to reduce the number of follow-up appointments and the number of non-interpretable scans.

GE Healthcare is also making use of Nvidia in its new analytics platform, with sections of it to be placed in the Nvidia GPU Cloud.

An average hospital generates 50 petabytes of data annually, GE said, but only 3% of that data is analyzed, tagged, or made actionable.

“Healthcare is changing at remarkable speed, and the technologies that will transform the industry should reflect that pace,” president and CEO of GE Healthcare Kieran Murphy said

Not to be left out, Intel also extended an existing partnership with GE Healthcare in the imaging field, with the duo to lean on Xeon Scalable to reduce the amount of time radiologists spend waiting for images.

“Radiologist workdays can be enhanced by use of real-time data analytics and increased performance,” said Jonathan Ballon, vice president Internet of Things Group at Intel.

The pair will also create a Joint Performance Acceleration Lab in Chicago that will conduct research across the imaging field, and GE Healthcare will use Intel’s Wind River Titanium Control on-premises cloud products with edge devices used in hospitals.

ZDNet has the full article

Sponsored Recommendations

A Cyber Shield for Healthcare: Exploring HHS's $1.3 Billion Security Initiative

Unlock the Future of Healthcare Cybersecurity with Erik Decker, Co-Chair of the HHS 405(d) workgroup! Don't miss this opportunity to gain invaluable knowledge from a seasoned ...

Enhancing Remote Radiology: How Zero Trust Access Revolutionizes Healthcare Connectivity

This content details how a cloud-enabled zero trust architecture ensures high performance, compliance, and scalability, overcoming the limitations of traditional VPN solutions...

Spotlight on Artificial Intelligence

Unlock the potential of AI in our latest series. Discover how AI is revolutionizing clinical decision support, improving workflow efficiency, and transforming medical documentation...

Beyond the VPN: Zero Trust Access for a Healthcare Hybrid Work Environment

This whitepaper explores how a cloud-enabled zero trust architecture ensures secure, least privileged access to applications, meeting regulatory requirements and enhancing user...