Video-based fully automatic assessment of open surgery suturing skills.

ABSTRACT:

Purpose

The goal of this study was to develop a new reliable open surgery suturing simulation system for training medical students in situations where resources are limited or in the domestic setup. Namely, we developed an algorithm for tools and hands localization as well as identifying the interactions between them based on simple webcam video data, calculating motion metrics for assessment of surgical skill.

Methods

Twenty-five participants performed multiple suturing tasks using our simulator. The YOLO network was modified to a multi-task network for the purpose of tool localization and tool-hand interaction detection. This was accomplished by splitting the YOLO detection heads so that they supported both tasks with minimal addition to computer run-time. Furthermore, bas

SUBMITTER: Goldbraikh A 

PROVIDER: S-EPMC8805431 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature