GE Healthcare Receives FDA Clearance of First Artificial Intelligence Algorithms Embedded On-Device to Prioritize Critical Ch...
12 Septembre 2019 - 2:30PM
Business Wire
- Helps radiologists prioritize critical cases with a suspected
pneumothorax – a type of collapsed lung – by immediately flagging
critical cases to radiologists for triage, which could drastically
cut the average review time from up to eight hours1
- Offers first-of-its-kind automated AI quality check features
that detect acquisition errors, flagging images for technologist
review and allowing them to make corrections before they go to
radiologists for review
GE Healthcare today announced the Food and Drug Administration’s
510(k) clearance of Critical Care Suite, an industry-first
collection of artificial intelligence (AI) algorithms embedded on a
mobile X-ray device. Built in collaboration with UC San Francisco
(UCSF), using GE Healthcare’s Edison platform, the AI algorithms
help to reduce the turn-around 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,”
says Kieran Murphy, President & CEO, GE Healthcare. “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.”
A prioritized “STAT” X-ray can sit waiting for up to eight hours
for a radiologist’s review1. 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 (PACS). The
technologist also receives a subsequent on-device notification2 to
give awareness of the prioritized cases. Quality-focused AI
algorithms simultaneously analyze and flag protocol and field of
view errors as well as auto rotate the images on-device. Critical
Care Suite and the quality algorithms were developed using GE
Healthcare’s Edison platform – which helps deploy AI algorithms
quickly and securely – and deployed on the company’s Optima
XR240amx system.
“Clinicians are always looking for clinically proven methods to
increase outcomes and improve the patient experience,” says Dr.
Rachael Callcut, Associate Professor of Surgery at UCSF, a surgeon
at UCSF Health and Director of Data Science for the Center for
Digital Health Innovation, who partnered in the development of
Critical Care Suite. “When a patient X-ray is taken, the minutes
and hours it takes to process and interpret the image can impact
the outcome in either direction. AI gives us an opportunity to
speed up diagnosis, and change the way we care for patients, which
could ultimately save lives and improve outcomes.”
Additionally, embedding Critical Care Suite on-device offers
several benefits to radiologists and technologists. For critical
findings, GE Healthcare’s algorithms are a fast and reliable way to
ensure AI results are generated within seconds of image
acquisition, without any dependency on connectivity or transfer
speeds to produce the AI results. These results are then sent to
the radiologist at the same time that the device sends the original
diagnostic image, ensuring no additional processing delay. Also,
automatically running quality checks on-device integrates them into
the technologist’s standard workflow and enables technologist
actions – such as rejections or reprocessing – to occur at the
patient’s bedside and before the images are sent to PACS.
“Currently, 62 percent of exams are marked ‘STAT’ or for urgent
reading1, 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 & CEO, X-ray, GE Healthcare.
“Not only does Critical Care Suite flag images with a suspected
pneumothorax with impressive accuracy3 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.”
GE Healthcare’s Edison offering comprises applications and smart
devices built using the Edison platform. The platform uses an
extensive catalog of healthcare-specific developer services to
enable both GE developers and select strategic partners to design,
develop, manage, secure and distribute advanced applications,
services and AI algorithms quickly. Edison integrates and
assimilates data from multiple sources, applying analytics and AI
to not only transform data, but provide actionable insights that
can be deployed on medical devices, via the cloud or at the edge of
the device.
Additional partners in the development of Critical Care Suite
include St. Luke’s University Health Network, Humber River
Hospital, and CARING - Mahajan Imaging – India.
For more information on GE Healthcare’s Critical Care Suite and
Edison platform visit gehealthcare.com.
About GE Healthcare:
GE Healthcare is the $19 billion healthcare business of GE
(NYSE: GE). As a leading provider of medical imaging, monitoring,
biomanufacturing, and cell and gene therapy technologies, GE
Healthcare enables precision health in diagnostics, therapeutics
and monitoring through intelligent devices, data analytics,
applications and services. With over 100 years of experience in the
healthcare industry and more than 50,000 employees globally, the
company helps improve outcomes more efficiently for patients,
healthcare providers, researchers and life sciences companies
around the world. Follow us on Facebook, LinkedIn, Twitter and The
Pulse for the latest news, or visit our website
www.gehealthcare.com for more information.
1 Rachh, Pratik et al. “Reducing STAT Portable Chest Radiograph
Turnaround Times: A Pilot Study.” Current Problems in Diagnostic
Radiology Vol. 47, No. 3 (n.d.): 156–60.
https://www.sciencedirect.com/science/article/abs/pii/S0363018817300312?via=ihub.
2 The technologist on-device notification is generated after a
delay, post exam closure, and it does not provide any diagnostic
information, nor is it intended to inform any clinical decision,
prioritization, or action.
3 Critical Care Suite’s overall Area Under the Curve (AUC) for
detecting a pneumothorax is 0.96. Large PTXs are detected with
extremely high accuracy (AUC = 0.99). Small PTXs are detected with
high accuracy (AUC = 0.94). GE Healthcare 510k K183182.
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Margaret Steinhafel Margaret.Steinhafel@ge.com +1
608 381 8829
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