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Mount Sinai’s AI-XR Surgical Trainer Advances Toward Whole-Procedure Cadaver Simulation

Validated with flawless results in a partial nephrectomy module among 17 residents, ESIST now moves to synthetic cadaver platforms to train complete surgical procedures.

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Overview

  • ESIST combines deep learning with a custom extended-reality headset to guide residents through placing a renal artery clamp on a 3D-printed kidney phantom with 99.9% accuracy
  • A first-person camera streams real-time feedback and corrective prompts without an instructor, enabling all 17 trainees to complete the critical nephrectomy step successfully
  • Post-training surveys found that 100% of participants rated ESIST as having great educational value and endorsed its autonomous teaching approach
  • Funded by the National Institute of Biomedical Imaging and Bioengineering and the National Science Foundation, the study explores cost reduction and standardized instruction during a shortage of surgical proctors
  • Researchers are now engineering more complex synthetic cadaver models to extend ESIST’s autonomous training from a single procedural component to entire operations