GE HealthCare and AWS collaborate to accelerate healthcare transformation

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GE HealthCare and Amazon Web Services announced a strategic collaboration to develop purpose-built foundation models and generative artificial intelligence (AI) applications designed to help clinicians improve medical diagnostics and patient care. GE HealthCare has selected AWS as its strategic cloud provider and plans to use its healthcare and generative AI services to build and implement new, versatile foundation models to transform the future of healthcare. These new generative AI-powered workflows are intended to fast-track the delivery of innovations to streamline healthcare operations, increase diagnostic and screening accuracy, enhance outcomes, lower access hurdles, and promote equitable care, thereby easing provider workload and accelerating industry innovation.

"GE HealthCare has been pioneering medical technology for more than a century. With more than one billion patients around the world touched by our products, we play an important part in improving the quality of care and have a responsibility to continue pushing the boundaries of what’s possible to enable precision care,” said Peter Arduini, President and CEO, GE HealthCare. “This new collaboration with AWS allows us to build on our legacy of innovation by embracing the power of AI to expedite the creation of medical technologies that we expect will redefine clinical workflows and the delivery of care.”

Leveraging Amazon Bedrock’s enterprise-grade security and privacy along with a broad selection of industry-leading foundation models, GE HealthCare plans to build and scale its own proprietary generative AI applications for healthcare use cases with an aim to enhance efficiency, care delivery, and the patient experience.

GE HealthCare’s internal developers are planning to use Amazon Q Developer, a generative AI–powered assistant to accelerate software development by generating real-time code suggestions, securely completing tasks, and more. The company also expects to use Amazon Q Business to explore the intersection of multi-modal clinical and operational data with an aim of reducing the cognitive burden on physicians, enabling personalized care, and increasing efficiency. Leveraging AWS's generative AI technology, GE HealthCare expects to reduce clinical application development cycles from years to months and to accelerate the delivery of new healthcare solutions.

Additionally, GE HealthCare plans to modernize its suite of applications with its own foundation models developed on Amazon SageMaker, to accelerate the development and deployment of web-based medical imaging applications and integrating these foundation models to drive efficiency, interoperability, and improve user experiences across the company’s equipment and software solutions. Customers could use GE HealthCare's generative AI-powered applications, that will integrate with AWS HealthLake and AWS HealthImaging, to quickly and securely analyze various types of patient data, leading to improved clinical efficiency and better patient care.

This collaboration will focus on the development of multi-modal foundation models designed to analyze a vast array of unstructured medical data (e.g., records, reports, and images) and provide precise, adaptable insights for a multitude of healthcare applications. Unlike traditional ML, these models can be built to interpret data across various diseases and tasks simultaneously.