Training at scale today; patient-specific rehearsal and AI assistance in development (subject to regulatory review).
Long-tail complications, rare anatomical variations, and safety requirements demand massive scenario coverage. Real-world data is limited by cost, ethics, and time. Especially for training and testing AI systems.
Digital twins offer a solution by enabling the creation of extensible, scalable surgical training scenarios in a safe, controlled, and reproducible virtual environment.
Different methods to create Digital Twin Patients
Digital twins enable broad case variations impossible with real-world data alone.
Achieving the highest standards of surgical safety and regulatory compliance.
Synthetic data generation solves privacy concerns while enabling massive dataset creation.
RehearsalOS orchestrates digital twins of patients, devices, surgeons, and AI proctors, enabling simulation-based training and AI tool development. Patient-specific rehearsal is in development and subject to regulatory review.
Four pillars powering scalable training scenarios and AI research.
Realistic, varied anatomy for training and R&D.
Different methods to create Digital Twin Patients
Virtualized instruments and environments for product training.
Hyper-realistic simulation of devices (form, surgical functions, look)
Visual overlays and objective feedback within simulation.
AI proctor example: guidance for suturing training
Research agents evaluated against expert benchmarks.
Performance of an AI agent trained in a virtual environment compared to experts and novices (research setting)
RehearsalOS combines high-fidelity simulation dynamics, scalable content generation, and modular clinical feature libraries to create extensible digital twin training scenarios across procedures and patient variations.
From scalable simulation today to AI tools and assistance under exploration.
Digital simulation-based training solutions powering surgical education worldwide.
Patient-derived training scenarios (R&D / training use). Patient-specific rehearsal is in development and subject to regulatory review.
AI tools and assistance under exploration (long-term research). Any clinical functionality will be offered subject to regulatory review.
Statements about future functionality are forward-looking and do not imply regulatory approval or commercial availability.
RehearsalOS empowers multiple stakeholders across the surgical innovation ecosystem.
Train more procedures and variations with consistent feedback on a simulator.
Patient-specific rehearsal features are in development and not available for clinical use. Availability subject to regulatory review.
Provide environments and tools to support testing and documentation of algorithm performance, including repeatable scenarios and structured outputs for customers' validation workflows.
(We do not claim regulatory compliance on behalf of customers.)
We build digital twins of patients, devices, and surgeons to transform surgical performance.
Guided by an international panel of surgical and simulation experts:
MD
PhD
MD, FACS, FASCRS
MD, FACOG
MD
Developed over the years in partnership with leading institutions:
Tell us your use case and we'll get in touch with you.