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Medtech companies used GTC 2025 this week to share updates on their work with AI computing leader Nvidia. The event is Nvidia’s annual artificial intelligence developer conference.
Here, we look at AI projects device and diagnostic developers have started with Nvidia and one of the computing company’s partners, Google Cloud.
Quest teams with Google on generative AI
Quest Diagnostics is working with Google Cloud to streamline its data systems and personalize customer experiences using generative AI, the companies said Tuesday.
The partnership positions Quest to deploy platforms such as Google Agentspace, which uses generative AI to help employees and customers find information and create agents to automate tasks. Quest said AI could help patients “glean personalized health insights from their laboratory data” and give physicians insights to inform their care of individuals.
Quest, which competes with Labcorp, said the collaboration is “one of the first by a national laboratory provider to use these technologies across a range of operations and administrative areas like R&D, customer experience and operations.”
Other goals include streamlining Quest’s systems to improve data quality, management and security. The company fulfilled more than 200 million orders for tests and managed over 80 billion data points in 2024.
GE Healthcare plans autonomous imaging
GE Healthcare has expanded its relationship with Nvidia to cover autonomous X-ray and ultrasound systems, the companies said Tuesday.
The partners plan to use AI-enabled software to capture and analyze medical images. GE Healthcare framed the autonomous systems as a way to alleviate the radiology staff shortages that have emerged as demand for imaging has increased in aging societies. AI-enabled systems “could minimize the burden on technicians and radiologists,” GE Healthcare said.
GE Healthcare plans to use the Nvidia Cosmos platform to train, test and tune autonomous ultrasound and X-ray devices in a virtual environment. By using synthetic data generation to simulate various scenarios, the company plans to automate repetitive tasks performed by X-ray technologists. The partners will also look at machine-to-patient interactions to more fully automate the scanning process.
The ultrasound part of the project is focused on streamlining workflows and reducing the physical strains sonographers experience as they perform repetitive motions. GE Healthcare also sees opportunities to use AI in image understanding and robotic navigation.
Synchron taps Nvidia for cognitive AI project
Synchron has shown how its AI-enabled brain-computer interface could be displayed on the Apple Vision Pro to allow people to control digital and physical environments with their thoughts.
The company, which shared the news Wednesday, used Nvidia’s Holoscan AI sensor processing platform to power the technology. Synchron said Holoscan enables faster, more precise motor inference in its BCI technology to empower users to control digital environments using their thoughts.
Synchron’s use of Holoscan for real-time neural decoding is the first step on its roadmap. The company plans to use other Nvidia technologies to create simulations of domestic environments. By interpreting neural signals in real-world simulations, the company aims to make interactions more intuitive.
Cognitive AI is the final part of Synchron’s three-step roadmap. The company called cognitive AI the next step beyond generative and agentic AI. Synchron aims to create a “self-learning model of cognition.” The project will train the AI “directly on human neural activity” that the company has collected through the development and use of its BCI device.
Nvidia partners with robotic surgery companies
Moon Surgical and Virtual Incision also shared details of their work with Nvidia this week. Moon Surgical is using the Nvidia Isaac for Healthcare platform to try to develop a robot that can “actively interpret, adapt and enhance surgical workflows in real time.” The company’s Maestro System already uses the Nvidia Holoscan platform for real-time sensor processing.
Virtual Incision is exploring the use of the Nvidia Isaac for Healthcare platform in its next-generation robots, leveraging its ability to create virtual environments to simulate surgical details and physiologic processes.
