AWS to Power GE HealthCare's Generative AI Models

GE HealthCare has signed a strategic collaboration with AWS to develop generative AI models and applications specifically designed to help clinicians improve medical diagnostics and patient care.

The partnership will see GE HealthCare use AWS’s cloud solutions as its preferred provider.

The medical technology company plans to use Amazon’s Bedrock platform to develop specialist generative AI applications to enhance patient care.

GE HealthCare's internal developers also plan to use AWS' AI-powered software development assistant, Q Developer, to assist in application development. Q Developer will offer coding suggestions as GE HealthCare develops solutions based on multimodal clinical and operational data.

GE HealthCare also intends to modernize existing applications with foundation models developed through Amazon SageMaker, a model development platform that lets users build their own machine learning-based systems.

The company plans to use SageMaker to develop models for web-based medical imaging applications. There are also plans to integrate AWS solutions such as HealthLake and HealthImaging to enable customers to analyze various types of patient data.

“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,” said Peter Arduini, GE HealthCare’s president and CEO.

Related:Deloitte Taps AWS for Industry-Specific AI, Cloud Solutions

GE Healthcare has been investing in AI capabilities for some time. It acquired Caption Health, an AI tech platform, in February 2023 and integrated its AI-powered image guidance into GE HealthCare’s digital ecosystem.

The company has also been leveraging deep learning to improve MRI scans, enabling clinicians to make faster diagnoses and reduce scan times.

Before joining AWS, GE HealthCare implemented a project utilizing a foundation model to enhance ultrasound image segmentation. The model achieved over 90% accuracy in isolating and identifying anatomical structures with minimal human input.

"By combining generative AI with our deep expertise, we're igniting a new era in health care,” said Taha Kass-Hout, GE HealthCare’s global chief science and technology officer at GE HealthCare. “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.”

GE HealthCare is the latest company to adopt Bedrock and AWS’ wider suite of AI solutions, joining partners including Deloitte and SAP.

Related:AI Ultrasound Firm Acquired by GE HealthCare

“With AWS, GE HealthCare plans to use the cloud to deliver more personalized, intelligent and efficient care,” said Matt Garman, AWS’ CEO.“With AWS as their strategic cloud provider, GE HealthCare can build transformative clinical foundation models and applications for the healthcare industry.”