GE HealthCare Partners with AWS to Develop Generative AI for Enhanced Medical Data Analysis

Collaboration aims to improve efficiency in processing complex healthcare data and internal operations.

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GE HealthCare has announced a partnership with Amazon Web Services (AWS) to develop generative artificial intelligence (AI) models and tools designed to analyze complex medical data more effectively. This collaboration is intended to tackle the challenge of managing and utilizing the vast amount of data generated by the healthcare industry, which accounts for nearly one-third of all global data.

A significant portion of healthcare data remains underutilized, with reports indicating that up to 97% of data produced by hospitals goes unused. This inefficiency arises from the fragmented nature of medical records, images, scans, and insurance documents stored across various systems and formats.

GE HealthCare aims to address this issue by leveraging generative AI to improve data accessibility and efficiency in healthcare operations, including screenings, diagnoses, decision support, and workflows like scheduling. The partnership with AWS will facilitate the development of web-based medical imaging applications, enhancing analytics access for radiologists and other medical professionals.

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Dr. Taha Kass-Hout, GE HealthCare’s global chief science and technology officer, emphasized the importance of AWS’s infrastructure in accelerating the development and deployment of these AI tools. AWS solutions, including Amazon Bedrock and Amazon SageMaker, will support GE HealthCare in building scalable generative AI models.

Matt Wood, AWS’s vice president of AI, highlighted the need for substantial compute power, data, and expertise to train these models, underscoring the value of the collaboration in meeting these requirements.

Beyond external applications, GE HealthCare is exploring how generative AI can streamline its internal productivity. One initial focus will be using Amazon Q Developer to generate real-time code suggestions for software development, aiming to enhance efficiency within the company.

GE HealthCare will rigorously test and adhere to high standards before releasing its AI products. The new models and tools will first be made available to GE HealthCare employees and customers, with plans for broader accessibility in the future.