GE Healthcare has announced a strategic partnership with Amazon Web Services (AWS) to develop advanced generative artificial intelligence (AI) models and tools aimed at transforming the analysis of complex medical data. This collaboration is poised to address the significant challenge within the healthcare industry, which generates nearly a third of the world’s data. However, much of this information remains inaccessible and underutilized due to its diverse formats and storage systems.
According to Deloitte, an astonishing 97% of data produced by hospitals is not used. GE, aims to leverage generative AI to harness this untapped potential. The partnership with AWS will focus on creating models to optimize data use across healthcare operations, such as screenings, diagnoses, decision support, and workflows including scheduling.
Dr. Taha Kass-Hout, GE Healthcare’s global chief science and technology officer, highlighted the potential benefits of this collaboration in an interview with CNBC. “The tools we expect to build will help hospitals and clinicians maximize their data,” he stated. AWS’s role is critical in accelerating the development and deployment of these web-based medical imaging applications, providing radiologists and other doctors with enhanced access to analytics.
GE Healthcare, which already offers AI tools, will utilize AWS’s advanced solutions like Amazon Bedrock and Amazon SageMaker to scale the creation of generative AI models and tools. Matt Wood, vice president of AI at AWS, emphasized the collaborative effort required, noting, “Training these models requires significant compute power, data, and expertise.”
Beyond healthcare applications, GE Healthcare is also exploring how generative AI can improve its internal productivity. One of the initial projects involves using Amazon Q Developer to provide real-time code suggestions for software developers, enhancing their efficiency.
Dr. Kass-Hout reassured that GE Healthcare maintains rigorous testing and standards for all products, including generative AI applications. He emphasized that the company does not train models on customer data, ensuring data privacy and security.
Initially, the new models and applications will be available to GE Healthcare employees and customers, with plans to expand access in the future. This partnership marks a significant step towards leveraging AI to make vast amounts of medical data more accessible and useful, potentially transforming healthcare operations and patient outcomes.
