Validation of Machine Learning-Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video.

Journal: Operative neurosurgery (Hagerstown, Md.)
Published Date:

Abstract

BACKGROUND: Intraoperative tool movement data have been demonstrated to be clinically useful in quantifying surgical performance. However, collecting this information from intraoperative video requires laborious hand annotation. The ability to automatically annotate tools in surgical video would advance surgical data science by eliminating a time-intensive step in research.

Authors

  • Nicholas Markarian
    Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
  • Guillaume Kugener
    Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Dhiraj J Pangal
    Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA. Electronic address: pangal@usc.edu.
  • Vyom Unadkat
    Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A.
  • Aditya Sinha
    Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
  • Yichao Zhu
    Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
  • Arman Roshannai
    Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
  • Justin Chan
    Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
  • Andrew J Hung
    Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, Los Angeles, California. Electronic address: Andrew.Hung@med.usc.edu.
  • Bozena B Wrobel
    Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Animashree Anandkumar
    Department of Computing & Mathematical Sciences, Caltech, Pasadena, CA.
  • Gabriel Zada
    Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Daniel A Donoho
    Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA; Division of Neurosurgery, Department of Surgery, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.