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GE Taps Amazon's AI Tooolbox To Untangle Medical Data
Despite being foundational to patient care, medical data -- gathering it and analyzing it -- poses myriad challenges for diagnosticians worldwide.
Medical visits generate volumes of valuable data about patients, including X-rays, test results and doctors' notes. However, a 2023 Deloitte report estimates that the vast majority of that data (97 percent) is either too unstructured or too siloed to be usable.
To make this data more accessible to healthcare service providers, GE HealthCare has inked a partnership with Amazon Web Services (AWS) giving it access to the cloud giant's portfolio of AI and machine learning solutions. Under the terms of the partnership, GE will use the AWS platform to create and train healthcare-specific AI models that can standardize previously unstructured medical data, giving clinicians more comprehensive views into patients' health histories, faster.
The ultimate goal, according to last week's press release, is to "improve existing protocols and workflows, [and] invent entirely new approaches to deliver better patient care."
Playing a key role in the partnership is Amazon Bedrock, a serverless platform that gives developers access to foundational models (FMs) and large language models (LLMs) via an API so they can build generative AI-enabled applications with relatively little overhead. GE will also leverage Amazon's "Q" AI assistant, particularly the Developer and Business editions.
GE foresees building AI models on AWS that are specifically fine-tuned for healthcare scenarios, as well as compliant with medical regulations such as the Health Insurance Portability and Accountability Act (HIPAA).
"With AWS, GE HealthCare plans to use the cloud to deliver more personalized, intelligent, and efficient care," said Matt Garman, AWS CEO of two months, in a prepared statement. "GE HealthCare is putting generative AI at the heart of their innovation, accelerated by the investments we have made in health care-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."