GTC 2025 has seen news about using AI to advance autonomous imaging, surgical robotics, brain-computer interfaces, and more.
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NVIDIA used its GTC 2025 event this week to announce Isaac for Healthcare, a developer framework for AI healthcare robotics. | Source: NVIDIA
NVIDIA’s “Super Bowl of AI” is seeing excitement around autonomous cars and robots — but there is plenty of medtech AI innovation work to discuss, too. GTC 2025 — running March 17–21, 2025 in San Jose, California — has seen news about using artificial intelligence to advance autonomous imaging, surgical robotics, brain-computer interfaces, and more.
NVIDIA itself announced Isaac for Healthcare, a developer framework for AI healthcare robotics. NVIDIA said the domain-specific framework, which leverages three NVIDIA computer systems, could enable developers to overcome challenges involving digital prototyping, training and evaluating AI models, collecting data and training for robotic policies, continuous testing of robotic systems, and creating deployment applications.
Here is the top medtech AI news involving NVIDIA’s Isaac for Healthcare and more that our sibling publication MassDevice has covered this week:
GE HealthCare, NVIDIA are working on autonomous imaging
GE HealthCare will expand its AI partnership with NVIDIA to include autonomous X-ray and ultrasound applications. The goal is to address the radiology staff shortages burdening health systems by finding ways to automate more of what happens when people go in for scans. The initial focus of the partnership will involve developing an autonomous X-ray system that would automate repetitive tasks and perhaps even machine-to-patient interactions.
GE HealthCare will use Isaac for Healthcare to train, test, and tune autonomous ultrasound and X-ray devices in a virtual environment before actual deployment.
Virtual Incision to explore NVIDIA AI tech for next-gen surgical robotics
MIRA is a miniaturized robotic-assisted surgery (miniRAS) system. | Source: Virtual Incision
Virtual Incision will explore using NVIDIA Isaac for Healthcare to develop next-generation surgical robotics. The Lincoln, Nebraska–based company sees Isaac helping with surgical synthetic data generation to develop robotic task autonomy, as well as the creation of realistic simulation environments to improve surgical precision.
Moon Surgical gets FDA nod for AI-enhancement for surgical robot
Moon Surgical announced yesterday that it received FDA clearance for ScoPilot, a NVIDIA-enabled platform for its Maestro robotic surgical assistant. ScoPilot, enabled by Nvidia Holoscan, is a real-time sensing platform designed to develop and deploy applications based on AI in the OR.
“We’re excited for the release of NVIDIA Isaac for Healthcare which will help us add even more perceptive and intelligent capabilities to evolve the practice of surgery on our digital and AI native architecture,” Moon Surgical CEO Osdoit said in a news release. “Instead of training our AI using real OR data, we’ll be able to simulate various OR environments, use them to generate synthetic data via intra and perioperative experiences to ultimately train our AI to understand and interact with the physical world around it.”
Hyperfine, NVIDIA partner on AI-powered neuroimaging
The Swoop brain imaging system. | Source: Hyperfine
Hyperfine has entered into a strategic collaboration with NVIDIA to leverage its AI expertise. The collaboration aims to apply NVIDIA AI and accelerated computing to enhance Hyperfine’s portable imaging technology. According to Hyperfine, it could make brain magnetic resonance imaging (MRI) faster, smarter, and more affordable on a global scale. Guildford, Connecticut–based Hyperfine develops Swoop, the world’s first FDA-cleared, portable, ultra-low-field, brain MRI system. Hyperfine aims to leverage AI and machine learning to advance ultra-low-field portable MR brain imaging technology and improve patient care.
XCath says Isaac Healthcare is enabling innovation for its robotic system to treat strokes
XCath (Houston) announced that it uses Isaac for Healthcare to create comprehensive digital twins of its endovascular robot, treatment devices and human vasculature. The digital twins enable motion planning and control for autonomous navigation in its catheter-based robotic system.
Synchron unveils cognitive AI foundational model for BCI developed with NVIDIA
The Synchron Stentrode BCI implant senses motor signals from inside the brain’s superior sagittal sinus. | Source: Synchron
Synchron unveiled its roadmap to Chiral, a foundation model of human cognitions for its stent-based brain-computer interface (BCI) platform. New York-based Synchron wants to advance BCI from supervised to self-supervised learning. Through a collaboration with NVIDIA, the company can accelerate the transition by combining large-scale neural data with advanced AI computing. Synchron built its BCI technology on the NVIDIA Holoscan platform.
Stereotaxis, NVIDIA advance AI in endovascular surgical robotics
Stereotaxis announced that NVIDIA accepted its surgical robotics technologies into its NVIDIA Connect program.
“We greatly appreciate the support of NVIDIA in our efforts to pioneer endovascular robotics and take the technology to new incredible heights,” said David Fischel, Stereotaxis chair & CEO. “The combination of robotics’ mechanistic benefits – precision, safety, stability – with the promise of AI innovations will dramatically transform what is possible in treating patients. We are excited for the path ahead of us.”
Neptune Medical to utilize NVIDIA AI in GI robotic system
Neptune Medical will expand its collaboration with NVIDIA to bring AI to its GI robotic system, with plans to leverage Isaac for Healthcare. Neptune has already been using NVIDIA Omniverse and Isaac Sim to design and simulate robotic endoscopy to boost diagnostic capabilities.
Associate Editor Sean Whooley contributed to this story.
Editor’s Note: This article was syndicated from The Robot Report’s sibling site MassDevice.
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