The Edison Developer Program addresses these needs directly by bringing market-ready AI applications to the Edison platform, integrating them into existing GE Healthcare offerings – on medical devices, in the cloud or at the edge of the network. This deep integration makes it easier for AI and analytics innovators to build, deploy and distribute their offerings. It breaks down barriers to adoption for clinicians, ultimately reducing costs and improving the value of new solutions.
GE Healthcare is actively working with a range of AI and analytics innovators – such as Arterys, iCAD, Koios Medical, MaxQ AI and Volpara – to deliver outcomes for healthcare systems via Edison. For example, Koios Medical built and deployed Breast Assistant, powered by Koios™ DS, an embedded application designed to automatically provide an AI-based quantitative risk assessment that aligns to a BI-RADS category, delivering results in two seconds or less and providing decision support for the clinician. Together, Koios and GE Healthcare integrated their solution into the LOGIQ E10 ultrasound system. Also as part of the Edison Developer Program, GE Healthcare recently launched two initiatives in India and China aimed at growing the regional ecosystem and accelerating availability of local solutions.

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“The opportunities for healthcare with a truly intelligent connected digital enterprise are significant, but no one organization can get there alone,” said Amit Phadnis, Chief Digital Officer, GE Healthcare. “The Edison Developer Program is unique in its deep technology integration and scaling through the workflow, opening the door to faster adoption by health systems. Bringing together leading technology providers, developers and academic institutions under a single, connected ecosystem will help our customers simplify and optimize data aggregation and orchestration of clinical and operational applications in ways that have the potential to create real impact from the bottom line to better patient outcomes.”
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. 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.