GE HealthCare (Nasdaq: GEHC) and Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (Nasdaq: AMZN), 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.”

Transforming Data into Insights
Nearly a third of all digital information is generated by the healthcare sector, but 97% of it isn’t available to physicians or clinicians because it often takes a variety of unstructured forms, from written notes to images, and tends to get trapped in data silos worldwide. This collaboration aims to unlock that vital information and unleash a new era of wellness possibilities with industry-specific artificial intelligence foundation models (FMs) and novel applications.

“Health care systems collect large numbers of data points about patients over a lifetime. Unfortunately, very little of it can be accessed efficiently and securely to help inform diagnoses, prognoses, or treatments for patients,” said Dr. Taha Kass-Hout, Global Chief Science and Technology Officer at GE HealthCare. “Until recently, technology capable of aggregating, analyzing, and interpreting this data securely and efficiently simply didn’t exist.”

Leveraging AWS Technology
GE HealthCare plans to utilize Amazon Bedrock, a fully managed service that provides secure access to the industry’s leading foundation models, to create and deploy bespoke generative AI applications, amplifying the advantages of generative AI for their customers. Leveraging 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.

“With AWS, GE HealthCare plans to use the cloud to deliver more personalized, intelligent, and efficient care,” said Matt Garman, CEO of AWS. “GE HealthCare is putting generative AI at the heart of their innovation, accelerated by the investments we have made in healthcare-specific cloud services and generative AI capabilities that provide best-in-class security, data privacy, and access to the latest state-of-the-art foundation models. With AWS as their strategic cloud provider, GE HealthCare can build transformative clinical foundation models and applications for the healthcare industry.”

Developing Next-Generation Applications
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 multimodal clinical and operational data with an aim of reducing the cognitive burden on physicians, enabling personalized care, and increasing efficiency.

“By combining generative AI with our deep expertise, we’re igniting a new era in healthcare,” said Dr. Taha Kass-Hout. “Our work with AWS is a big step towards helping clinicians make medical care simpler, more efficient, and deeply personalized. It’s about advancing the way we care for people everywhere, one innovative solution at a time.”

Additionally, GE HealthCare plans to modernize its suite of applications with its own foundation models developed on Amazon SageMaker, a fully managed service to build, train, and deploy machine learning (ML) models. By developing its own foundation models specialized for medical use cases, GE HealthCare intends to accelerate the development and deployment of web-based medical imaging applications, integrating these foundation models to drive efficiency, interoperability, and improve user experiences across the company’s equipment and software solutions.

Ensuring Security and Privacy
Using AWS’s advanced machine learning (ML) services provides the processing power and security needed to manage the large volume and complexity of data that healthcare professionals handle each day. This means GE HealthCare can develop and offer generative AI tools to its customers that comply with privacy regulations like the Health Insurance Portability and Accountability Act (HIPAA).

“We are optimistic about the ways in which generative AI will be able to transform healthcare for the better, and we look forward to seeing the new tools and applications that result from collaborations across industry and healthcare,” said Dr. Keith Dreyer, Chief Data Science Officer, Mass General Brigham and leader of the Mass General Brigham AI business. “As healthcare systems like Mass General Brigham lean into AI to accelerate their work, we see great potential for new foundation models that utilize advanced technologies.”

This partnership between GE HealthCare and AWS marks a pivotal moment in the evolution of healthcare, setting the stage for significant advancements in medical technology and patient care through the power of generative AI.

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