GE HealthCare has selected Amazon Web Services (AWS) as its strategic cloud provider to help it fast-track more generative AI applications for healthcare.

GE HealthCare will get access to computing power and generative AI tools, including Amazon Bedrock, which provides secure access to the industry’s leading foundation models, to build and scale its own proprietary generative AI applications, with an eye toward enhancing efficiency, healthcare delivery and the patient experience.

GE HealthCare’s internal developers are also planning to use Amazon Q Developer, a generative AI–powered assistant that generates real-time code suggestions and securely completes tasks, to help speed up software development. Additionally, the company plans 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,” according to the company.

Additional tools include Amazon SageMaker, a fully managed service to build, train, and deploy machine learning models.

For years, GE HealthCare has provided AI tools for imaging, such as AIR Recon DL to speed up MR scans and enhance image quality, and the company is at the top of an FDA list of AI-enabled device authorizations, with more than 70.

“This collaboration is designed to help us leapfrog in generative AI,” Parminder Bhatia, chief AI officer at GE HealthCare, told HCB News. “The idea is to continue to accelerate that ecosystem across our company’s equipment and software solutions.”

The collaboration with AWS also provides GE’s customers with access to the AI ecosystem, including integration 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.

“The data is kind of spread out across multiple facilities which makes it harder for hospitals and staff to actually gather [data] and get meaningful insights out of it,” Bhatia said. “So the access to these tools is going to help hospitals get the most out of the data they’ve accumulated … and allow clinicians to provide more personalized care.”

“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 health care,” said Dr. Keith Dreyer, chief data science officer at Mass General Brigham and leader of the Mass General Brigham AI business, in a statement announcing the collaboration. “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.”

The company is targeting 2025 for the release of additional AI applications based on the collaboration with AWS.

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