Amazon Web Services partners with GE HealthCare to develop AI for healthcare applications.

• On Thursday, GE HealthCare announced a partnership with Amazon Web Services to develop specialized AI models and applications for medical purposes.
• Nearly one-third of all global data is generated by the health-care industry, yet its storage and organization are not uniform.
• Doctors could use AI to quickly find the information they need during screenings, diagnoses, decision support, and workflows like scheduling, according to GE HealthCare and AWS.

On Thursday, it was announced that the company is collaborating with to develop new AI models and tools for analyzing complex medical data.

Nearly one-third of all data worldwide is generated by the health-care industry, but much of this information is difficult to access due to the various file formats and systems in which patient medical records, images, scans, and insurance records are stored. This makes it challenging for doctors and researchers to manage and analyze this vast amount of information, particularly on a larger scale.

Generative AI can help GE HealthCare, which offers medical imaging, ultrasound, patient care, and pharmaceutical diagnostic solutions, reduce the 97% of data produced by hospitals that goes unused, according to a report from Deloitte.

AWS is partnering with the company to develop models that clinicians can utilize to optimize their use of data in healthcare operations, such as during screenings, diagnoses, decision support, and scheduling workflows.

In an interview with CNBC, Dr. Taha Kass-Hout, GE HealthCare's global chief science and technology officer, stated that the tools that will be developed as a result of this will be designed to assist hospitals and clinicians in maximizing the potential of the data they possess.

AWS is expected to accelerate GE HealthCare's creation and implementation of web-based medical imaging applications, making it easier for radiologists and physicians to access analytics.

GE HealthCare has its own AI tools but will leverage AWS' technical infrastructure to quickly build and scale generative AI models and tools. The company will use AWS solutions such as Amazon Bedrock and Amazon SageMaker, as announced in a release on Thursday.

Matt Wood, vice president of AI at AWS, stated in an interview with CNBC that training these models demands a substantial amount of compute, data, and expertise, and we are collaborating in that aspect.

GE HealthCare is also focusing on utilizing generative AI to enhance its internal productivity. One of its initial priorities is to employ an assistive tool called Amazon Q Developer, which generates real-time code suggestions for its software developers, thereby improving their efficiency.

GE HealthCare adheres to strict testing and standards when introducing products to the market, and this will also apply to the generative AI applications it creates. Kass-Hout stated that GE HealthCare does not use customer data to train its models.

GE HealthCare employees and customers will have initial access to the company's new models and applications, with plans to expand availability in the future.