GE HealthCare taps Amazon Web Services to construct generative AI for medical use

GE HealthCare on Thursday announced it’s teaming up with Amazon Web Services to construct recent generative artificial intelligence models and tools that may efficiently analyze complex medical data.

The health-care industry is liable for generating nearly one-third of all data globally, but much of this information is not easily accessible. Since patients’ medical records, images, scans and insurance records are stored across different file formats and systems, it may well be difficult for doctors and researchers to sort through this mountain of knowledge – especially on a bigger scale. 

As an example, as much as 97% of the info produced by hospitals goes unused, in keeping with a report from Deloitte. GE HealthCare, which offers medical imaging, ultrasound, patient care and pharmaceutical diagnostic solutions, believes generative AI may help. 

The corporate is collaborating with AWS to construct models that clinicians can use to leverage data more efficiently across health-care operations, including inside screenings, diagnoses, decision support and workflows like scheduling. 

“The tools we expect to construct consequently of this will probably be aimed toward helping hospitals and clinicians take advantage of the info that they’ve,” Dr. Taha Kass-Hout, GE HealthCare’s global chief science and technology officer, told CNBC in an interview. 

Kass-Hout said AWS will likely help GE HealthCare speed up its development and deployment of web-based medical imaging applications, for example, which would offer radiologists and other doctors with easier access to analytics. 

GE HealthCare offers its own AI tools, but its partnership with AWS will supply the corporate with the technical infrastructure required to quickly construct generative AI models and tools at scale. GE HealthCare will use AWS’ solutions like Amazon Bedrock and Amazon SageMaker, in keeping with a release Thursday. 

“Training these models requires quite a lot of compute, requires quite a lot of data, requires quite a lot of expertise, and we’re collaborating in that regard,” Matt Wood, vice chairman of AI at AWS, told CNBC in an interview. 

Along with constructing applications for health care more broadly, Kass-Hout said GE HealthCare can also be exploring find out how to use generative AI to streamline the corporate’s internal productivity. He said one in all its initial priorities will probably be using an assistive tool called Amazon Q Developer to generate real-time code suggestions for its software developers, which should help them work more efficiently. 

Kass-Hout said GE HealthCare maintains rigorous testing and standards before bringing products to market, and the identical will probably be true with the generative AI applications it develops. GE HealthCare doesn’t train models on customer data, he added.

The corporate’s recent models and applications will initially be available to GE HealthCare employees and customers, nevertheless it plans to make them more widely accessible in the longer term.