Surgical Robotics

Johnson & Johnson MedTech has announced a strategic partnership with Nvidia to integrate artificial intelligence into its surgical robotics platform, marking a major step toward more intelligent, simulation-driven surgery.

Under the collaboration, J&J will leverage Nvidia’s Isaac for Healthcare—a specialized framework for medical robotics—to develop digital twins of surgical procedures and operating room environments. These digital simulations will be used to refine and test the company’s Monarch Platform for Urology, which is set to become commercially available in the United States in 2026.

Advancing the Monarch Platform for Urology

The Monarch system, originally designed for bronchoscopy procedures, received FDA clearance in 2022 for a urology indication, enabling its use in kidney stone surgeries. J&J’s next step is to use Nvidia’s advanced simulation tools to model complex anatomical environments and clinical scenarios before real-world procedures.

Through AI-driven simulation and synthetic data generation, J&J’s R&D teams can now model how the Monarch robot behaves inside the human body and within a surgical setting. This allows for rapid testing of new features, enhanced precision during development, and better preparation for clinical teams before procedures.

Transforming Surgical Training and Planning

Virtual operating rooms created through Nvidia’s technology will allow surgeons to simulate entire procedures before stepping into the OR. These simulations will help optimize system setup, improve procedural planning, and accelerate training for new users of the Monarch platform.

Part of a Growing Wave of AI Partnerships in MedTech

The Johnson & Johnson–Nvidia collaboration is part of a broader trend across the medical technology industry. Nvidia has recently announced partnerships with Philips to enhance MRI models, GE Healthcare to develop autonomous imaging solutions, and Illumina to support genomic data analysis.

In a parallel initiative, Verily, Alphabet’s precision health company, has also entered into a new agreement with Nvidia. Verily plans to integrate Nvidia’s AI capabilities into its Pre platform, which is widely used to accelerate healthcare and life sciences research. The collaboration will also enhance analyses for the NIH’s All of Us Researcher Workbench, a massive genomics data platform supporting nearly 20,000 researchers worldwide through Verily’s partnership with Vanderbilt University Medical Center.

Financial terms of both Johnson & Johnson’s and Verily’s deals with Nvidia were not disclosed.

Surgical Robotics continues to transform the future of operating rooms worldwide. In a major industry step, Johnson & Johnson MedTech has partnered with Nvidia to bring AI-powered digital simulation into Surgical Robotics workflows.

With Nvidia’s cutting-edge GPU-based computing and real-time simulation engine, J&J MedTech aims to accelerate surgeon skill development and improve planning accuracy. AI models will be used to analyze surgical motions, predict complications and even simulate patient-specific procedure scenarios before entering the OR.

  • AI Simulation is Setting a New Standard in Surgical Robotics Training

This collaboration shows how Surgical Robotics is quickly evolving from mechanical assistance to intelligent, context-aware systems. As these platforms become smarter and more predictive, surgeons will get more confidence, better outcome prediction, and higher-precision training environments for minimally invasive procedures.

Experts believe this alliance is a strong step toward next-generation Surgical Robotics where digital twins, predictive AI and virtual surgical rehearsals become standard medical practice.

The partnership also aligns with the medical device industry’s shift toward virtual-first development. Instead of building physical prototypes for every iteration, companies can now test designs digitally, speeding up innovation cycles and reducing risk. Nvidia’s accelerated computing platform will help Surgical Robotics engineers simulate tissue interaction, tool movements, and performance under different surgical scenarios — all before going into clinical testing.

Another important point is scalability. AI-powered simulation can be delivered through cloud-based systems, meaning Surgical Robotics training doesn’t require expensive on-site hardware. Surgeons, trainees, and hospitals can access advanced simulated practice environments from anywhere in the world. This could democratize training and close experience gaps between urban advanced hospital centers and smaller regional medical institutions.

With surgical procedures becoming more complex and precision-dependent, the need for accurate data-driven decision support is increasing. Combining Surgical Robotics with AI will not only enhance accuracy during live procedures, but also improve pre-operative planning, motion prediction, risk scoring, and continuous skills assessment.

Ultimately, Johnson & Johnson MedTech and Nvidia are helping shape a future where Surgical Robotics becomes: safer, smarter, and more autonomous — with AI simulation as its backbone.

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