Edison is an AI platform launched last year to help with leveraging data from imaging devices.

Kieran Murphy, President and CEO at GE Healthcare, says:

“We introduced Edison just one year ago at RSNA to help health providers take advantage of data in new and significant ways.

With the introduction of the Edison Developer Program, and a suite of new intelligent applications and smart devices powered by Edison, we are building on that promise as we continue to work with partners to realize our collective goal of advancing the future of health.”

While there’s significant interest in using AI for healthcare, the time it takes for implementing new innovations is “cumbersome and complex,” according to GE Healthcare.

GE Healthcare aims to serve clinicians’ need for a single solution to assist with integrating AI algorithms into existing workflows to help them, and therefore their patients, benefit from the potential of these new technologies much faster.

Market-ready AI applications will be deeply integrated into GE Healthcare’s vast existing solutions – on medical devices, in the cloud, or at the edge of the network.

Developers jumping aboard the new initiative will have the reach of GE Healthcare’s large userbase. GE Healthcare’s business reported $19 billion in revenue last year and spans 160 countries. On average, three patients are imaged with the company’s solutions every second.

“The Edison Developer Program exposes a number of potential capabilities of the Edison platform, including secure device connectivity, data aggregation for clinical context, advanced visualization, workflow and AI orchestration, in addition to a rich set of AI capabilities for data traceability, curation, annotation, model training and inferencing,” the company wrote in a press release.

“This set of services will reduce the complexity of developing and integrating AI and data-based healthcare applications in clinical workflows. Program members are selected and vetted based on rigorous clinical and technical evaluations as well as regulatory clearance to ensure confidence and security of solutions offered through the Edison platform.”

GE Healthcare is currently working with a range of AI and analytics companies including Arterys, iCAD, Koios Medical, MaxQ AI and Volpara.

Koios Medical, for example, built and deployed Breast Assistant – an AI-based risk assessment for breast cancer that aligns to a BI-RADS (Breast Imaging-Reporting and Data System) category.

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Medical imaging is so important because it offers a way to pick up and detect problems as early as possible without intrusive methods. GE Healthcare and Nuance have chosen to partner with Nvidia for use of their deep learning platform.

Kimberly Powell, Vice President of Healthcare at NVIDIA, said: “Medical imaging is an essential tool for delivering the best healthcare, and now we have the opportunity to massively enhance it with AI.”

GE Healthcare

To begin with, Nvidia’s AI computing platform will be deployed across GE Healthcare’s 500,000 imaging devices around the world and use ‘Revolution Frontier CT’ which Nvidia claims is twice as fast at image processing than its predecessor.

The company will also power GE Healthcare’s analytics platform ‘Applied Intelligence’ to help ensure the faster deployment of deep-learning algorithms for future medical instruments.

Nuance

Next up is the partnership with Nuance who are announcing their ‘AI Marketplace for Diagnostic Imaging’ which is built on Nvidia’s deep learning platform.

The aim for the marketplace is to enable radiologists to get involved with building potentially life-saving algorithms for use in clinics around the world.

“Transforming the delivery of patient care and combating disease starts with the most advanced technologies being readily available when and where it counts – in every reading room, across the United States,” said Peter Durlach, senior vice president, Healthcare at Nuance.

“Our AI Marketplace will bring together the leading technical, research and healthcare minds to create a collection of image processing algorithms that, when made accessible to the wide array of radiologists who use our solutions daily, has the power to exponentially impact outcomes and further drive the value of radiologists to the broader care team.”

Nuance claims around 70 percent of radiologists use their image-sharing and reporting solutions, and the deployment of this marketplace will help to improve the workflow of radiologists for quicker detection and quantification of key clinical findings.

Nvidia’s Digits developer tool will be updated to provide developers with a way to publish their algorithms directly to Nuance PowerShare.

The announcements were made during the annual meeting of the Radiological Society of North America (RSNA), in Chicago, which was attended by more than 50,000 professionals.

Find the rest of our coverage of AI for healthcare purposes here.

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