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Mount Sinai Advances Instructorless AI-XR Training Into Full-Procedure Surgical Simulations

Validated in a partial nephrectomy pilot with flawless results, the system is set to train entire procedures using synthetic cadaver models.

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Overview

  • The ESIST system guided trainees through a partial nephrectomy step without an instructor, achieving 100% success among 17 participants and 99.9% accuracy.
  • A first-person headset camera delivered real-time feedback and corrective prompts to refine technique and standardize skill acquisition.
  • Trainees unanimously rated the autonomous training as highly valuable in post-session surveys, affirming its educational impact.
  • The AI-driven approach offers a cost-effective, scalable alternative to proctor-led instruction, alleviating faculty shortages and reducing variability in resident skill development.
  • Researchers are adapting the AI-XR framework for full-procedure synthetic cadaver simulations to provide comprehensive, scalable surgical education.