Medtech Firms Leverage NVIDIA’s AI Computing

In March, robotic surgery company Moon Surgical obtained U.S. Food and Drug Administration (FDA) clearance for ScoPilot, which provides intelligent scope control for the company’s Maestro system. ScoPilot lets surgeons take control of the laparoscope by using the instruments they are holding. It was designed to free the surgeon’s hand and improve ease of use, efficiency, and ergonomics.

ScoPilot is powered by NVIDIA Holoscan, a real-time sensing platform to develop and deploy applications based on artificial intelligence (AI) in the operating room. The AI-powered feature on the Maestro system ensures a stable, ideal view during surgery. It allows the laparoscope attached to Maestro to follow a desired instrument tip.

Its ambient sensing, paired with NVIDIA-accelerated computing and AI, generates a surgical dataset that includes multimodal sensing and kinematics. This drives next-gen physical AI capabilities that augment surgical care in the OR and across the broader perioperative workflow.

That same week, GE HealthCare revealed it was broadening its collaboration with NVIDIA to focus on pioneering innovation in autonomous imaging. The partnership will begin with autonomous X-ray tech and autonomous applications in ultrasound. 

Autonomous X-ray and ultrasound use AI-enabled software to capture and analyze medical images with the aim of minimizing the burden on technicians and radiologists. GE HealthCare plans to build AI-enabled X-ray and ultrasound systems by leveraging NVIDIA’s Isaac for Healthcare platform, which is built on NVIDIA’s three computers used to build physical AI. This includes NVIDIA Omniverse for robotic simulation workflows.

The company plans to train, test, and tune the autonomous devices in a virtual environment before deployment using the NVIDIA Cosmos platform for synthetic data generation, physics-based sensor simulation, imitation, and reinforcement learning.

The two companies will first address autonomous X-ray systems, specifically possible use of NVIDIA Isaac for Healthcare and Jetson platforms. GE HealthCare intends to simulate various scenarios using Isaac in order to help automate repetitive tasks the technologist performs in an exam room. The duo will also explore developing machine-to-patient interactions to autonomously lead the patient through the scan process.

Rounding out March was brain-computer interface (BCI) company Synchron’s mission to build Chiral, a foundation model for human cognitions. This marks the rise of Cognitive AI—artificial intelligence that’s trained directly on human neural activity. The company plans to advance BCI from supervised to self-supervised learning by combining large-scale neural data with advanced NVIDIA AI-powered computing.

Motor inference will be powered by NVIDIA Holoscan. Holoscan augments on-device edge computation for faster, more precise motor inference in the BCI. The next step is integrating environmental awareness. NVIDIA’s Omniverse platform and Cosmos world foundation models generate physics-bound, photorealistic simulations of domestic environments to create richly labeled datasets that boost motor interference accuracy, adaptability, and fine-tuning.

Synchron and NVIDIA will then train Chiral based on deidentified data. As a pre-trained brain model, Chiral will be engineered to abstract human cognitions from large-scale neural data. As more devices are deployed, the model continuously improves, allowing higher-dimensional intent translation and evolving into a self-improving, general-purpose Cognitive AI, the companies believe. The transition surpasses intent recognition, laying a foundation for real-time intention-to-action.

This lets users control digital environments with only thought, building a foundation for more advanced, high-dimensional interactions and AI enablement.

Synchron showed at GTC 2025 that its AI-enabled BCI powered by the NVIDIA Holoscan platform could be displayed on the Apple Vision Pro. This meant people could control digital and physical environments using Synchron’s Stentrode direct thought-control technology.

In April, a trio of medtech firms revealed they will harness NVIDIA’s robotics expertise to enhance or develop their own systems, leveraging Isaac for Healthcare to accelerate development of AI robotics like autonomous mobile robots (AMRs), arms and manipulators, and humanoids.

Neptune Medical is expanding its collaboration with NVIDIA to further advance its GI Robotic System. The deeper engagement aligns with NVIDIA’s focus on physical AI—a transformative wave of AI that enables autonomous medical devices to sense, plan, and execute complex tasks in real-world environments. By integrating Isaac for Healthcare, Neptune Medical gains access to an advanced digital twin framework.

XCath is leveraging Isaac for Healthcare to create comprehensive digital twins of its endovascular robot, treatment devices, and human vasculature. By doing so, XCath can accelerate prototyping and testing cycles for future robotic generations, create virtual training environments for surgeons and medical trainees, and build patient-specific procedural plans.

Virtual Incision is exploring Isaac for Healthcare to develop next-gen surgical robotics platforms. Digital twin framework capabilities integrated with robotic learning tools will enable Virtual Incision’s developers to create highly realistic virtual environments to simulate surgical details and physiologic processes.