- 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.
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