PhacoTrainer: Deep Learning for Cataract Surgical Videos to Track Surgical Tools.

Journal: Translational vision science & technology
PMID: 36947046

Abstract

PURPOSE: The purpose of this study was to build a deep-learning model that automatically analyzes cataract surgical videos for the locations of surgical landmarks, and to derive skill-related motion metrics.

Authors

  • Hsu-Hang Yeh
    Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA.
  • Anjal M Jain
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Olivia Fox
    Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA.
  • Kostya Sebov
    Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA.
  • Sophia Y Wang
    School of Medicine, Stanford University, Palo Alto, CA, United States.

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