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
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
“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.