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Synthetic Data Generation Capabilities

Synthetic data generation capabilities for training robust AI models. Create unlimited, diverse datasets for medical robotics validation without compromising patient privacy or safety.

What is Synthetic Data Generation?

Synthetic Data Generation (SDG) capabilities provide powerful tools for creating high-quality training data for medical AI applications. Generate photorealistic medical imaging data, procedural scenarios, and anatomical variations to train more robust and generalizable models.

Key Benefits:

  • Unlimited Data: Generate diverse datasets without patient involvement
  • Privacy Compliant: HIPAA-compliant synthetic data generation
  • Cost Effective: Reduce data collection and annotation costs
  • Rapid Development: Skip months of training with pre-built models

Getting started

Available SDG Tools

  • MAISI for BYO Anatomy

    Medical AI for Synthetic Imaging with custom anatomical structures

    Features:

    • Custom anatomical structure generation
    • Multi-modal medical imaging support
    • Patient privacy preservation
    • Pathology variation synthesis

    Learn More →

  • COSMOS-Transfer

    Domain transfer capabilities for medical imaging modalities

    Features:

    • Cross-modality data transfer
    • Style and domain adaptation
    • Medical imaging standardization
    • Multi-center data harmonization

    Learn More →

  • COSMOS-Predict (Surgery)

    Coming Soon - Surgical scenario prediction and generation for robotics training

    Planned Features:

    • Surgical procedure simulation
    • Complication scenario generation
    • Instrument interaction modeling
    • Procedural outcome prediction

    Status: In development