How GE HealthCare and AWS are using AI to make medical breakthroughs happen faster than ever

In a landmark development for medical technology, GE HealthCare and Amazon Web Services, Inc. (AWS) have unveiled a strategic partnership aimed at revolutionizing healthcare through advanced artificial intelligence (AI) solutions. The collaboration, announced recently, will see GE HealthCare leverage AWS’s cloud services and generative AI capabilities to enhance diagnostic accuracy, streamline healthcare operations, and improve patient care on a global scale.

GE HealthCare, a leader in medical technology for over a century, has selected AWS as its strategic cloud partner. This decision is poised to significantly impact the future of healthcare by integrating generative AI into clinical workflows. The new AI-powered tools and applications developed through this collaboration are designed to address key challenges in the healthcare sector, such as increasing diagnostic precision, lowering access barriers, and promoting equitable care.

Transforming Healthcare with Generative AI

The strategic alliance will focus on utilizing Amazon Bedrock, AWS’s fully managed service offering secure access to top-tier foundation models, to create custom generative AI applications tailored for the healthcare industry. GE HealthCare plans to deploy these models to enhance operational efficiency and patient outcomes. According to Peter Arduini, President and CEO of GE HealthCare, this partnership enables the company to push the boundaries of innovation and precision in medical technology, building on its rich legacy of improving care quality.

GE HealthCare and AWS partner to revolutionize healthcare with generative AI.

AWS’s CEO, Matt Garman, emphasized that this collaboration would harness the power of AWS’s cloud infrastructure and generative AI capabilities to deliver more personalized and efficient healthcare solutions. The integration of these advanced technologies is expected to transform clinical workflows and accelerate the development of new healthcare solutions.

Accelerating Innovation with AI-Powered Tools

GE HealthCare will utilize Amazon Q Developer, an AI-powered assistant, to expedite software development by offering real-time code suggestions and task automation. Additionally, Amazon Q Business will be employed to analyze multi-modal clinical and operational data, aiming to reduce cognitive load on physicians and enhance personalized care.

The collaboration also includes plans to modernize GE HealthCare’s suite of applications using foundation models developed on Amazon SageMaker. This service will facilitate the creation, training, and deployment of machine learning models specialized for medical use cases. By incorporating these models into its applications, GE HealthCare aims to boost efficiency, interoperability, and user experience across its product offerings.

Expert Insights on AI’s Role in Healthcare

Dr. Taha Kass-Hout, Global Chief Science and Technology Officer at GE HealthCare, highlighted the transformative potential of this collaboration. He stated that the integration of generative AI with GE HealthCare’s expertise represents a significant leap forward in making medical care simpler, more efficient, and personalized. Dr. Keith Dreyer, Chief Data Science Officer at Mass General Brigham, echoed this sentiment, noting the vast potential for AI to reshape healthcare systems and improve clinical outcomes.

Addressing Data Challenges with AI

The healthcare industry generates approximately 30% of the world’s data, yet 97% of this data remains untapped due to its unstructured nature. The partnership between GE HealthCare and AWS aims to tackle this issue by developing multi-modal foundation models capable of analyzing diverse types of unstructured medical data. These models will provide adaptable insights for a wide range of healthcare applications, enhancing diagnostic and operational efficiencies.

GE HealthCare has a strong track record in AI innovation, having topped the U.S. Food and Drug Administration’s list of AI-enabled device authorizations for the third consecutive year. Recent projects, including an advanced ultrasound image segmentation tool, demonstrate the effectiveness of foundation model technology in improving diagnostic accuracy and operational efficiency.