Comparative Analysis of Machine-Learning Model Performance in Image Analysis: The Impact of Dataset Diversity and Size.

Journal: Anesthesia and analgesia
Published Date:

Abstract

BACKGROUND: This study presents an analysis of machine-learning model performance in image analysis, with a specific focus on videolaryngoscopy procedures. The research aimed to explore how dataset diversity and size affect the performance of machine-learning models, an issue vital to the advancement of clinical artificial intelligence tools.

Authors

  • Eric D Pelletier
    From the Department of Experimental Surgery, McGill University Health Center, Montreal, Quebec, Canada.
  • Sean D Jeffries
  • Kevin Song
  • Thomas M Hemmerling