Analyzing Surgical Technique in Diverse Open Surgical Videos With Multitask Machine Learning.

ABSTRACT:

Objective

To overcome limitations of open surgery artificial intelligence (AI) models by curating the largest collection of annotated videos and to leverage this AI-ready data set to develop a generalizable multitask AI model capable of real-time understanding of clinically significant surgical behaviors in prospectively collected real-world surgical videos.

Design, setting, and participants

The study team programmatically queried open surgery procedures on YouTube and manually annotated selected videos to create the AI-ready data set used to train a multitask AI model for 2 proof-of-concept studies, one generating surgical signatures that define the patterns of a given procedure and the other identifying kinematics of hand motion that correlate with surgeon skill level and

SUBMITTER: Goodman ED 

PROVIDER: S-EPMC10701669 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature