Written by : Jayati Dubey
July 26, 2024
GE HealthCare's partnership with AWS will leverage AWS solutions such as Amazon Bedrock and Amazon SageMaker.
GE HealthCare has formed a strategic partnership with Amazon Web Services (AWS) to develop new generative AI models and tools designed to analyze complex medical data efficiently.
This collaboration with AWS will focus on creating models that enhance data efficiency across healthcare operations, including screenings, diagnoses, decision support, and scheduling workflows.
The new AI models and applications will initially be available to GE HealthCare employees and customers. However, plans are in place to make these tools more widely accessible in the future.
"The tools we expect to build as a result of this will be aimed at helping hospitals and clinicians make the most of the data that they have," said Dr Taha Kass-Hout, GE HealthCare's global chief science and technology officer.
He emphasized that AWS's involvement will likely accelerate the development and deployment of web-based medical imaging applications, providing radiologists and other doctors with easier access to analytics.
The healthcare industry generates nearly one-third of the world's data, but much of this information remains inaccessible due to varying file formats and systems.
According to a Deloitte report, up to 97% of data produced by hospitals goes unused. GE HealthCare, which provides medical imaging, ultrasound, patient care, and pharmaceutical diagnostic solutions, aims to harness generative AI to improve data utilization.
GE HealthCare's partnership with AWS will leverage AWS solutions such as Amazon Bedrock and Amazon SageMaker. These tools will provide the necessary technical infrastructure to build and scale generative AI models and tools efficiently.
"Training these models requires a lot of compute, requires a lot of data, requires a lot of expertise, and we're collaborating in that regard," explained Matt Wood, VP of AI at AWS.
Beyond external applications, GE HealthCare is exploring the use of generative AI to enhance internal productivity.
One of the initial priorities is using an assistive tool called Amazon Q Developer to generate real-time code suggestions for software developers, helping them work more efficiently.
Dr Kass-Hout assured that GE HealthCare maintains rigorous testing and standards before launching products, a principle that will also apply to the generative AI applications under development. He also emphasized that GE HealthCare does not train AI models on customer data.