GE Healthcare Unveils New Applications and Smart Devices Built on “Edison” – a Next Generation Intelligence
Platform
- Expanding on GE Healthcare’s 200+ Imaging applications, Edison includes new technologies to improve
scan consistency, help clinicians detect and prioritize acute cases and extend the lifecycle of devices
- Among the 100+ GE Healthcare developer services on Edison is a tool that tracks the source and usage
of data in AI development, simplifying developers’ ability to create compliant algorithms
- Edison is the most holistic and integrated digital platform in healthcare, combining globally diverse
data sets from across modalities, vendors, healthcare networks and life sciences settings
GE Healthcare today announced new applications and smart devices built on Edison – a platform that helps accelerate the
development and adoption of Artificial Intelligence (AI) technology and empower providers to deliver faster, more precise care.
Edison is part of GE Healthcare’s $1 billion and growing Digital portfolio and will serve as a “digital thread” for its existing AI
partnerships and products. Clinical partners will use Edison to develop algorithms, and technology partners will work with GE
Healthcare to bring the latest advancements in data processing to Edison applications and smart devices.
The healthcare AI market will reach $6.6 billion in 2021, and 39 percent of healthcare provider executives say that they’re
investing in AI, machine learning and predictive analytics. Appreciating the technology’s potential, GE Healthcare is presenting
the following Edison applications and Edison-powered devices at the 104th annual meeting of the Radiological Society of
North America (RSNA).
- AIRx* is an AI-based, automated workflow tool for MRI brain scanning designed to increase
consistency and productivity. AIRx is designed to provide automated slice prescriptions to help reduce previously
redundant, manual steps. AIRx is intended to produce images that have less variability between technologists and between
scans, to help lower the chances for a patient to be recalled due to incorrect slice placement. An increase in consistency is
particularly important when doing longitudinal assessments for diseases like Alzheimer’s and Multiple Sclerosis. AIRx
features a pre-trained neural network model that leverages deep learning algorithms and anatomy recognition based on a database
of over 36,000 images sourced from clinical studies and reference sites. *510(k) pending at FDA. Not available for sale.
- Critical Care Suite* on Optima XR240amx is designed to identify cases with the critical
condition of pneumothorax at the point-of-care to enable prioritization of image review. Critical Care Suite will employ a suite
of AI algorithms, such as pneumothorax detection, designed to identify this potentially life-threatening condition in chest
X-Rays with high accuracy (>0.95 AUC). The AI algorithms are hosted on the mobile X-Ray system – a first of its kind
AI-embedded imaging device – designed to share the output through an onscreen notification. When a pneumothorax condition is
identified, the point-of-care notification alerts the clinical team, enabling prioritization of image review. The AI results are
sent to PACS for review of the critical findings by a radiologist. *510(k) pending at FDA. Not available for sale.
- CT Smart Subscription provides continuous access to the latest CT software, extending the
lifecycle of the device and making it more valuable over time. Applications can be selected based on a hospital or health
system’s unique needs, with options ranging from intracranial hemorrhage and stroke detection to routine dose reduction and
optimization to cardiac function assessment.
- Automated Lesion Segmentation on LOGIQ™ E10 increases productivity through automation.
Ultrasound users experience significant ergonomic challenges due to repetitive exam steps. Automated Lesion Segmentation helps
eliminate the need for the user to measure lesions manually, by segmenting an identified breast, thyroid or liver lesion and
automatically providing a trace of the lesion and corresponding area. This feature also helps ensure consistency among different
users, or even the same user, for documentation and follow-ups.
“There's a lot of hidden meaning in the deep data, but it takes a significant sophistication to extract the value,” said Dr.
Rachael Callcut, a partner in the development of Critical Care Suite, Associate Professor of Surgery at UCSF, a surgeon at UCSF
Health and Director of Data Science for the Center for Digital Health Innovation. “AI gives us an opportunity to see patterns that
we don't see and change the way we care for patients, which can ultimately improve outcomes.”
Edison also offers a cutting-edge service that allows data to be traced during the development of an algorithm. This tool, which
reflects GE Healthcare’s commitment to safe, ethical and effective use of AI, could boost clinicians’ trust in the technology and
radically simplify a developer’s ability to create compliant AI applications. The AI capabilities are just one of the more than 100
Edison services available to GE Healthcare and ultimately third-party developers. Other services include security, visualization,
utilization management and auto-protocoling.
For hospital executives, the Edison platform allows GE Healthcare to add continuous value to its millions of installed medical
devices with smart workflows. Clinicians who use Edison applications, which were built using Edison services, can be assured by the
fact that algorithms were developed with and validated by a best-in-class ecosystem of clinical and technology partners. Developers
who use Edison will benefit from a common integrated platform that brings together globally diverse data from across modalities,
vendors and care settings.
“Edison provides clinicians with an integrated digital platform, combining diverse data sets from across modalities, vendors,
healthcare networks and life sciences settings,” said Kieran Murphy, President and CEO of GE Healthcare. “Applications built on
Edison will include the latest data processing technologies to enable clinicians to make faster, more informed decisions to improve
patient outcomes.”
Edison applications can be deployed on medical devices, via the cloud or on the edge (computing technology that sits close to
the physical device).
GE Healthcare is showcasing its Edison applications and Edison-powered devices at RSNA in the North Hall, Booth 7334. The full
GE Healthcare RSNA 2018 press kit can be found
here.
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
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Certain statements in this press release are forward-looking. Any descriptions of future functionality reflect current product
direction, are for informational purposes only, and do not constitute a commitment to provide specific functionality. Timing and
availability are subject to change and applicable regulatory approvals.
GE Healthcare Media Contact
Kelley Sousa
Kelley.Sousa@ge.com
+1 312-288-1249
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