Investigating surgeon performance metrics as key predictors of robotic herniorrhaphy outcomes using iterative machine learning models: retrospective study.

ABSTRACT:

Background

Robotic data streams allow for capture of objective performance indicators, providing the ability to quantify and analyse operator technique and movement in optimizing postoperative outcomes. This study provided proof-of-concept demonstration of how intraoperative surgeon-factors could influence post-robotic herniorrhaphy complications via machine learning analyses of objective performance indicators.

Study design

Data on robotic-assisted ventral hernia repair were retrospectively reviewed between February 2013 and November 2022 at a single academic centre. Machine learning modelling on systematic chart review data correlated perioperative patient factors, intraoperative objective performance indicators, and postoperative outcomes. Complications were classified wi

SUBMITTER: Shin TH 

PROVIDER: S-EPMC11842189 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature