Automatic purse-string suture skill assessment in transanal total mesorectal excision using deep learning-based video analysis

ABSTRACT: Abstract

Background

Purse-string suture in transanal total mesorectal excision is a key procedural step. The aims of this study were to develop an automatic skill assessment system for purse-string suture in transanal total mesorectal excision using deep learning and to evaluate the reliability of the score output from the proposed system.

Methods

Purse-string suturing extracted from consecutive transanal total mesorectal excision videos was manually scored using a performance rubric scale and computed into a deep learning model as training data. Deep learning-based image regression analysis was performed, and the purse-string suture skill scores predicted by the trained deep learning model (artificial intelligence score) were output as continuous variables. The outcomes

SUBMITTER:  

PROVIDER: S-EPMC9991500 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature