Automatically rating trainee skill at a pediatric laparoscopic suturing task.

ABSTRACT:

Background

Minimally invasive surgeons must acquire complex technical skills while minimizing patient risk, a challenge that is magnified in pediatric surgery. Trainees need realistic practice with frequent detailed feedback, but human grading is tedious and subjective. We aim to validate a novel motion-tracking system and algorithms that automatically evaluate trainee performance of a pediatric laparoscopic suturing task.

Methods

Subjects (n = 32) ranging from medical students to fellows performed two trials of intracorporeal suturing in a custom pediatric laparoscopic box trainer after watching a video of ideal performance. The motions of the tools and endoscope were recorded over time using a magnetic sensing system, and both tool grip angles were recorded using handle-mo

SUBMITTER: Oquendo YA 

PROVIDER: S-EPMC5845064 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature