Artificial Intelligence Aided Analysis of Anterior Segment Optical Coherence Tomography Imaging to Monitor the Device-Cornea Joint After Synthetic Cornea Implantation.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: The purpose of this study was to assess the utility of artificial intelligence (AI) assisted analysis of anterior segment optical coherence tomography (AS-OCT) imaging of the device-cornea joint in predicting outcomes of an intrastromal synthetic cornea device in a rabbit model.

Authors

  • Esen Karamursel Akpek
    The Ocular Surface Disease Clinic, The Wilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Gavin Li
    The Ocular Surface Disease Clinic, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Anthony J Aldave
    Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • Guillermo Amescua
    Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL; and.
  • Kathryn A Colby
    Department of Ophthalmology at New York University Grossman School of Medicine, New York University, New York, NY, USA.
  • Maria S Cortina
    Illinois Eye and Ear Infirmary, University of Illinois, Chicago, IL, USA.
  • Jose de la Cruz
    Illinois Eye and Ear Infirmary, University of Illinois, Chicago, IL, USA.
  • Jean-Marie A Parel
    Bascom Palmer Eye Institute, University of Miami School of Medicine, Miami, FL, USA.
  • Thomas Schmiedel
    W.L. Gore and Associates, Ophthalmic Venture, Elkton, MD, USA.