VR-based automated suturing skill assessment in pediatric robotic surgery

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Automated assessment of suturing skills in pediatric robotic surgery using VR technology addresses limited training opportunities for surgeons.
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The VR simulator replicates a neonatal suturing scenario, providing real-time access to kinematic data for objective performance evaluation.
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An 11-point subset of a clinically established suturing checklist was reformulated into measurable criteria for automated scoring.
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The automated assessment achieved 67.3% accuracy compared to expert evaluations, indicating substantial agreement and conservative scoring.
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VR-based automated assessment can reduce subjectivity and support real-time feedback, enhancing training for pediatric robotic surgery.

Int. Journal Of Computer Assisted Radiology And Surgery (Springer)

by Saul Alexis Heredia Perez, Enduo Zhao, Murilo Marques Marinho, Kyoichi Deie, Mamoru Mitsuishi, Kanako Harada
April 30, 2026

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