Vitreoretinal Surgical Instrument Tracking in Three Dimensions Using Deep Learning.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: To evaluate the potential for artificial intelligence-based video analysis to determine surgical instrument characteristics when moving in the three-dimensional vitreous space.

Authors

  • Pierre F Baldi
    Department of Biomedical Engineering, University of California, Irvine, California.
  • Sherif Abdelkarim
    Department of Computer Science, University of California, Irvine, CA, USA.
  • Junze Liu
    Department of Computer Science, University of California, Irvine, CA, USA.
  • Josiah K To
    Center for Translational Vision Research, University of California, Irvine, California.
  • Marialejandra Diaz Ibarra
    Gavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, CA, USA.
  • Andrew W Browne
    Department of Ophthalmology, Gavin Herbert Eye Institute, University of California, Irvine, California.