Deep Learning Analysis of Surgical Video Recordings to Assess Nontechnical Skills.

ABSTRACT: Assessing nontechnical skills in operating rooms (ORs) is crucial for enhancing surgical performance and patient safety. However, automated and real-time evaluation of these skills remains challenging. To explore the feasibility of using motion features extracted from surgical video recordings to automatically assess nontechnical skills during cardiac surgical procedures. This cross-sectional study used video recordings of cardiac surgical procedures at a tertiary academic US hospital collected from January 2021 through May 2022. The OpenPose library was used to analyze videos to extract body pose estimations of team members and compute various team motion features. The Non-Technical Skills for Surgeons (NOTSS) assessment tool was employed for rating the OR team's nontechnical skills by 3

SUBMITTER: Harari RE 

PROVIDER: S-EPMC11292454 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature