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Nvidia Expands AI in Medical Devices with J&J, GE Healthcare & Philips Partnerships

ByMegha Pathak
2025-06-04.4 days ago
Nvidia Expands AI in Medical Devices with J&J, GE Healthcare & Philips Partnerships
A montage showcasing Nvidia's AI technology integrated into various medical devices, including GE Healthcare's autonomous imaging systems and Johnson & Johnson's robotic surgery platforms.

Nvidia is expanding its presence in healthcare by partnering with leading medical technology companies, including Johnson & Johnson, Medtronic, GE Healthcare, and Philips. The chip giant is powering AI-enabled devices across imaging, robotics, and digital health workflows.

In imaging, Nvidia has collaborated with GE Healthcare to build autonomous X-ray and ultrasound solutions, and with Philips to develop foundation models for MRI systems. On the robotics front, J&J’s Monarch bronchoscopy platform is powered by Nvidia’s computing stack. To support these advances, Nvidia launched “Isaac for Healthcare” — a development platform combining synthetic data generation, simulation, and real-time sensor processing.

From Generative AI to Agentic Systems in Hospitals

David Niewolny, Nvidia’s Director of Healthcare Business Development, noted a rapid shift in the medtech industry toward generative AI and agentic systems. “Devices are now looking at how to bring agentic AI into applications — assisting clinicians, automating workflows, and enhancing contextual support,” he told MedTech Dive.

Niewolny emphasized the rise of “physical AI,” where robotics assists not just in surgery but also in hospital operations, such as autonomous systems delivering medication or stocking supplies, effectively extending the role of AI from diagnostics to logistics.

Also Read: AIIMS Patna Integrates AI-Powered Devices to Enhance Patient Care

Autonomous Imaging: A Glimpse into the Future

Nvidia’s collaboration with GE Healthcare on autonomous imaging is reimagining diagnostics. In one pilot, a digital agent checks in the patient, guides them into position, and operates the X-ray autonomously — reducing human intervention and expanding access in under-resourced settings. AI further augments this with real-time analysis, generating clinical reports to support physicians.

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