Artificial intelligence facilitates the potential of simulator training: An innovative laparoscopic surgical skill validation system using artificial intelligence technology

Category	Detail
Condition	Laparoscopic surgical skill acquisition and validation
Key Mechanisms	AI-based posture estimation (DeepLabCut) to objectively track and evaluate forceps manipulation during laparoscopic simulation training
Target Population	Pediatric surgeons and surgical trainees learning laparoscopic techniques
Care Setting	Surgical simulation training environments using laparoscopic box trainers

Laparoscopic surgery offers advantages over open surgery including reduced pain, infection, and faster recovery.
Simulation training with objective AI-based evaluation can improve laparoscopic skill acquisition and provide quantitative feedback.
DeepLabCut AI model accurately tracks forceps movements with an average pixel discrepancy of 9.2, enabling detailed analysis of surgical instrument handling.

Assess laparoscopic skill variability among practitioners to identify training needs.

Implement simulation-based laparoscopic training using box trainers equipped with AI-powered objective evaluation systems.
Use exercises such as needle trail, ring transfer, and suturing to develop and assess skills.

Quantitatively track forceps movement trajectories using AI to provide real-time or near-real-time feedback.
Evaluate tracking stability and accuracy across different exercises and backgrounds to ensure consistent performance.

Variability in surgical skills may lead to adverse intraoperative and postoperative outcomes if not addressed through effective training.

Pediatric surgeons undergoing laparoscopic skill training

Continuous simulator training with AI-based objective feedback enhances skill acquisition and may improve surgical outcomes.

Use commercially available laparoscopic box trainers (e.g., Laparoscopyboxx Pro) combined with video recording devices for training.
Apply AI posture estimation tools like DeepLabCut to label and track keypoints on surgical instruments for objective skill assessment.
Incorporate multiple camera angles (top and side views) to supplement AI tracking and provide comprehensive feedback.
Ensure informed consent and voluntary participation of trainees in simulation-based skill validation studies.

Clinical Scorecard: Leveraging Artificial Intelligence to Enhance Simulator Training: A Novel System for Validating Laparoscopic Surgical Skills