GE Healthcare, Nvidia expand relationship to focus on autonomous imaging

GE Healthcare (GEHC) announced a collaboration with Nvidia (NVDA) at GTC 2025, expanding the existing relationship between the two companies to focus on pioneering innovation in autonomous imaging, beginning with autonomous X-ray technologies and autonomous applications within ultrasound. GE HealthCare has been at the forefront of medical technology innovation with a series of “firsts” that date back more than a century, starting with the invention of its X-ray tube, followed by several others including the first handheld ultrasound, first 3D obstetric ultrasound, and on-device AI algorithms for pneumothorax triage. X-ray and ultrasound continue to be the most widely used diagnostic imaging systems with 4.2 billion medical imaging examinations performed annually at a global scale. However, rising demand, driven by an aging population, has led to significant radiology staff shortages, challenging healthcare systems, increasing the burden on healthcare providers, and delaying critical diagnoses. Autonomous X-ray and ultrasound are promising new areas of development, using AI-enabled software to capture and analyze medical images, which could minimize the burden on technicians and radiologists. With NVIDIA as a world leader in accelerated computing and AI and GE HealthCare’s position as a leading global healthcare solutions provider – topping the FDA list of AI-enabled device authorizations for three years in a row with 85 authorizations – this collaboration plan has the potential to help solve some of healthcare’s biggest challenges. GE HealthCare aims to develop AI-enabled X-ray and ultrasound systems by leveraging the new NVIDIA Isaac for Healthcare platform, built on NVIDIA’s three computers utilized to build physical AI, including NVIDIA Omniverse for robotic simulation workflows. Using the NVIDIA Cosmos platform for synthetic data generation, physics-based sensor simulation, imitation, and reinforcement learning, GE HealthCare plans to train, test, and tune autonomous ultrasound and X-ray devices in a virtual environment before deployment in the physical world.