Simulation-based training in minimally invasive surgical therapies (MIST): current evidence and future directions for artificial intelligence integration—a systematic review by EAU endourology - Scorecard - MDSpire

Simulation-based training in minimally invasive surgical therapies (MIST): current evidence and future directions for artificial intelligence integration—a systematic review by EAU endourology

  • By

  • Carlotta Nedbal

  • Vineet Gauhar

  • Thomas Herrmann

  • Abhishek Singh

  • Ali Talyshinskii

  • Feras Al Jaafari

  • Bhaskar Kumar Somani

  • July 18, 2025

  • 0 min

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Clinical Scorecard: Current Evidence and Future Perspectives on Artificial Intelligence Integration in Simulation-Based Training for Minimally Invasive Surgical Techniques: A Systematic Review by EAU Endourology

At a Glance

CategoryDetail
ConditionBenign prostatic hyperplasia (BPH)
Key MechanismsMinimally invasive surgical therapies (MISTs) such as Rezum and UroLift provide alternatives to traditional surgery with ejaculation-sparing benefits; simulation-based training enhances skill acquisition and patient safety
Target PopulationUrology trainees including medical students, residents, and young urologists
Care SettingUrology residency training programs and surgical education environments

Key Highlights

  • MISTs like Rezum and UroLift offer favorable tolerability and patient satisfaction compared to TURP and HoLEP.
  • Simulation-based training provides a risk-free environment for repetitive practice, shortening learning curves and improving technical competence.
  • AI-enhanced simulators enable objective performance metrics and formative/summative assessments, though construct validity requires further research.

Guideline-Based Recommendations

Diagnosis

  • Use simulation platforms to supplement traditional training for minimally invasive BPH procedures.

Management

  • Incorporate VR and high-fidelity simulators such as the VirtaMed platform for Rezum and UroLift training to improve procedural skills.
  • Utilize AI-driven performance metrics to provide objective feedback and enhance learning efficiency.

Monitoring & Follow-up

  • Assess trainee performance using simulator-generated scores including treatment success, procedure duration, and technical errors.
  • Evaluate simulator validity (face, content, construct) regularly to ensure educational effectiveness.

Risks

  • Limited case volumes and variable resident exposure may hinder skill acquisition without simulation support.
  • Lack of comprehensive validation studies for some simulators may affect training quality.

Patient & Prescribing Data

Patients with benign prostatic hyperplasia undergoing minimally invasive surgical therapies

Simulation-trained surgeons may achieve improved procedural competence and patient safety, potentially enhancing outcomes of Rezum and UroLift procedures.

Clinical Best Practices

  • Adopt simulation-based training early in urology residency to bridge theoretical knowledge and practical skills.
  • Use AI-integrated simulators to provide detailed, objective performance feedback.
  • Ensure simulators used have demonstrated face and content validity; pursue further research on construct validity.
  • Encourage repetitive practice on VR platforms to develop muscle memory essential for complex MIST procedures.

References

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