Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard.

Journal: Ophthalmology
Published Date:

Abstract

PURPOSE: To develop an artificial intelligence (AI) dashboard for monitoring glaucomatous functional loss.

Authors

  • Siamak Yousefi
    Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
  • Tobias Elze
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts; Complex Structures in Biology and Cognition, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. Electronic address: tobias-elze@tobias-elze.de.
  • Louis R Pasquale
    Eye and Vision Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Osamah Saeedi
    Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Maryland, United States.
  • Mengyu Wang
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts.
  • Lucy Q Shen
    Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
  • Sarah R Wellik
    Bascom Palmer Eye Institute, University of Miami School of Medicine, Miami, Florida.
  • Carlos G De Moraes
    Ophthalmology.
  • Jonathan S Myers
    Wills Eye Hospital, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Michael V Boland
    Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.