GE HealthCare Partners with AWS to Build GenAI Tools to Analyze Medical Data

GE HealthCare recently announced a partnership with Amazon Web Services to build new generative AI models and tools to efficiently analyze complex medical data.

This collaboration aims to create a new era of wellness possibilities with industry-specific artificial intelligence (AI) foundation models (FMs) and novel applications. GE Healthcare plans to train and deploy new clinical FMs on AWS’s machine learning and generative AI technologies.

“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.”

As reported by AWS, GE Healthcare will leverage Amazon Bedrock to access the world's leading foundational models, train new models, and develop AI-powered applications. Through these apps, hospitals and clinics can have a comprehensive view of their data and gain insights for improving patient care.

Further, GE HealthCare’s internal developers plan to use Amazon Q Developer as well as Amazon Q Business to explore the intersection of multimodal clinical and operational data. The aim is to reduce the burden on physicians, enabling personalized care and increased efficiency.

“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.”

In addition, Dr. Kass-Hout stated that the foundation models created by GE HealthCare could be adapted or fine-tuned for specific medical tasks, making the models an ideal base for innovative solutions. Also, because they are cloud-native, doctors can access the models online from anywhere.

Dr. Kass-Hout also remarks on the processing power and solid security that AWS’s cloud infrastructure and advanced ML services provide, which are critical in managing the massive complex data that healthcare professionals handle.