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Related Experiment Video

Updated: Sep 17, 2025

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The Evaluation of Computer Vision-Based Automated Performance Metrics for Endoscopic Kidney Stone Surgery.

Jackson Cabo1,2, Daiwei Lu3, Chase Floyd4

  • 1Department of Urology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Journal of Endourology
|July 2, 2025
PubMed
Summary

Computer vision models can objectively assess surgical skill in endoscopic kidney stone treatment. Automated performance metrics (APMs) derived from videos distinguish between expert and trainee performance, aiding skill evaluation.

Keywords:
automated performance metricscomputer visionmedical educationureteroscopy

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Area of Science:

  • Urology
  • Surgical Technology
  • Medical Imaging

Background:

  • Assessing surgical competency is crucial for training and patient safety.
  • Objective, real-time tools for evaluating endoscopic stone operation competency are lacking.
  • Computer vision models offer a potential solution for objective performance assessment.

Purpose of the Study:

  • To apply endoscopic computer vision models for automated performance metrics (APMs).
  • To define APMs from surgical videos of flexible ureteroscopy for kidney stone treatment.
  • To compare APMs between surgical experts and trainees.

Main Methods:

  • Three APMs were assessed: % frames without stone, stone screen occupancy, and frame-to-frame change in stone occupancy.
  • Surgical videos of stone localization and laser ablation were analyzed.
  • A validated computer vision model for endoscopic stone segmentation was utilized.

Main Results:

  • Trainee stone localization videos showed more frames without visible stone and lower stone screen occupancy than experts.
  • Trainee laser ablation videos exhibited a higher frame-to-frame change in stone occupancy compared to experts.
  • Significant differences (p < 0.01) were observed between expert and trainee performance metrics.

Conclusions:

  • Automated performance metrics derived from computer vision differ between expert and trainee surgeons.
  • These APMs can objectively evaluate skill acquisition in endoscopic kidney stone treatment.
  • This technology holds promise for enhancing surgical training and patient safety.