GE Healthcare: NVIDIA and GE HealthCare team up for autonomous diagnostic imaging

Medical Device Network · Shutterstock / Hepha1st0s. In This Article: NVIDIA and GE HealthCare have entered a new collaboration to develop autonomous diagnostic imaging tools, initially focusing on X-ray and ultrasound technology. The partnership was announced at Nvidia's GTC 2025 conference in San Jose, California, US. GE HealthCare will use the tech company's computing platforms to develop AI-enabled X-ray and ultrasound systems, joining a wider trend in the healthcare industry that is seeing algorithms increasingly implemented into radiology workflows. Nvidia's computing frameworks Isaac Healthcare and Jetson are slated to be utilised in the X-ray system creation. Isaac is used to help build AI robots, whereas Jetson is designed to accelerate machine learning (ML) applications. The computing platforms will help automate workflows such as patient placement, image scanning, and quality checking. The two companies hope that the technology that arises from the collaboration will expand access to care to X-ray and ultrasound - two of the most used diagnostic imaging approaches. The diagnostics imaging market was estimated to be worth $37.2bn in 2024 and is forecast to grow to nearly $55bn by 2033, according to analysis by GlobalData. While the deployment of AI into diagnostic imaging workflows is nothing new, autonomous systems have been harder to create. Nvidia says its software can provide simulation options for medical sensors, helping digital twin access to medical environments. Isaac for Healthcare allows for multi-scale simulation ranging from microscopic structures and surgery suites to full hospital facilities. GE HealthCare stated that it plans to automate repetitive tasks performed by a technologist in the X-ray patient exam room. For ultrasound, the tech could streamline workflow and reduce demanding physical strain resulting from repetitive motions. The latest venture between the two companies follows a partnership last year that led to the development of a research model called SonoSAMTrack. The platform helps segment anatomies, lesions, and other essential areas in ultrasound images. Nvidia continues to strengthen its presence in the life sciences industry. Earlier this year, it revealed a trio of new partnerships that focused on applications including genomics and clinical trial services. The tech company has more than 3,500 healthcare members in its Inception programme, a free framework offered by Nvidia to nurture startups and support co-marketing opportunities. However, Nvidia stock has taken a recent hit due to competition from China and concerns about an AI bubble. A keynote by CEO Jensen Huang on 18 March at the GTC conference, which revealed the company's most powerful AI chips to date, failed to change the direction of Nvidia's falling share price. "NVIDIA and GE HealthCare team up for autonomous diagnostic imaging" was originally created and published by Medical Device Network , a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.