Skip to content

Isaac for Healthcare

NVIDIA Isaac for Healthcare is the three-computer solution for healthcare robotics developers, spanning simulation, training, and deployment of AI robotics solutions. Built on NVIDIA Isaac Sim, Isaac Lab, Omniverse, and Holoscan, Isaac for Healthcare provides a domain-specific framework for designing, simulating, testing, training, and deploying AI-enabled medical robots.

Built for healthcare applications across:

  • Therapeutics: Surgical robotics, interventional radiology, radiotherapy
  • Diagnostics: Ultrasound, CT, cone-beam CT imaging systems
  • Hospital & Patient Care: Medication delivery, supply transport, disinfection robots
  • Rehabilitation: Physical therapy robots, exoskeletons, assistive technologies

Why Isaac for Healthcare?

Transform healthcare through the industry's first three-computer framework for medical robotics:

  • Training Computer: Pre-trained models and AI algorithms
  • Simulation Computer: Physics-based digital twins
  • Edge Computer: Real-time deployment

Test medical procedures without risk. Generate unlimited synthetic data. Deploy the same code from simulation to clinical environments. All powered by NVIDIA's proven robotics and AI infrastructure.

What's in Isaac for Healthcare?

Choose your development path. Each component provides production-ready tools and workflows for building next-generation medical robotics applications.

  • Sensor Simulation

    Physics-based medical sensor emulation for AI training. Generate photorealistic synthetic data with GPU-accelerated performance.

    • RGB Camera Sim
    • Ultrasound Sensor Sim

    View Sensors →

  • Models

    Ready-to-use AI models and robotic policies for medical applications. Accelerate development with domain-specific neural networks.

    • Post-trained Pi0
    • Post-trained GR00T N1
    • Surgical Control Policies

    View Models →

  • Workflows

    End-to-end blueprints that developers could use to build healthcare robotics starting from simulation, synthetic data generation, policy/model training and sim to real deployment.

    • Robotic Surgery Subtask Automation
    • Robotic Autonomous Ultrasound
    • Tele-op / Tele-surgery
    • Extensible tutorials for custom hardware and assets
    • Training guides for GR00T and Pi-Zero models

    Explore Workflows →

  • Synthetic Data Generation

    Synthetic data generation capabilities for training robust AI models. Create unlimited, diverse datasets for medical robotics validation.

    • MAISI for BYO Anatomy
    • COSMOS-Transfer
    • COSMOS-Predict (surgery)

    Learn SDG →

  • Assets & Tutorials

    Sim-ready medical assets and comprehensive tutorials for rapid prototyping. Pre-validated 3D models and step-by-step guides.

    • Medical Equipment & Hospital Environment Assets
    • Anatomical Assets & BYO Anatomy Tutorial
    • Sim-ready Robot Assets & BYO Robot Tutorial

    Browse Assets →

Quick Start

Ready to build the future of medical robotics? Get started with these resources:

  1. Choose a Workflow - Pick your healthcare robotics application
  2. Browse Assets - Access medical equipment and anatomical models

Join our community on Discord (#isaac-for-healthcare channel) • Report issues on GitHub