GE Healthcare X-ray technology gets advanced

Freeman Staff

Sept. 13, 2019

WAUKESHA — New technology implemented into GE Healthcare’s X-ray machines are making the machine smarter and helping doctors to learn of results faster.

On Thursday, GE Healthcare announced that Food and Drug Administration gave 510(k) clearance of Critical Care Suite, which uses artificial intelligence (AI) algorithms embedded on a mobile X-ray device.

The AI algorithms, used in GE Healthcare’s Edison platform, help to reduce the turnaround time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung.

“X-ray — the world’s oldest form of medical imaging — just got a whole lot smarter, and soon, the rest of our offerings will too,” said Kieran Murphy, president and CEO of GE Healthcare, in a statement.

“GE Healthcare is leading the way in the creation of AI applications for diagnostic imaging and taking what was once a promise and turning it into a reality. By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is just the beginning,” Murphy said.

A prioritized “STAT” Xray can sit waiting for up to eight hours for a radiologist’s review 1. However, when a patient is scanned on a device with Critical Care Suite, the system automatically analyzes the images by simultaneously searching for a pneumothorax. If a pneumothorax is suspected, an alert — along with the original chest X-ray — is sent directly to the radiologist for review via picture archiving and communication systems, according to the release.

The technologist also receives a subsequent ondevice notification 2 to give awareness of the prioritized cases.

“Currently, 62% of exams are marked ‘STAT’ or for urgent reading 1, but they aren’t all critical. This creates a delay in turnaround for truly critical patients, which can be a serious issue,” adds Jie Xue, president and CEO, X-ray, GE Healthcare, in a statement.

“Not only does Critical Care Suite flag images with a suspected pneumothorax with impressive accuracy 3 and enable radiologists to prioritize those cases immediately, but it also makes AI accessible. Our embedded AI algorithms offer hospitals an opportunity to try AI without making investments into additional IT infrastructure, security assessments or cybersecurity precautions for routing images offsite,” Xue said.

Additional partners in the development of Critical Care Suite include St. Luke’s University Health Network, Humber River Hospital, and CARING — Mahajan Imaging — India.