Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.

Journal: American journal of ophthalmology
PMID: 38354971

Abstract

PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progression with deep learning (DL).

Authors

  • Vahid Mohammadzadeh
    Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Sean Wu
    Department of Computer Science, Pepperdine University, Malibu, CA, USA.
  • Sajad Besharati
    From the Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles (V.M., S.B., E.M., K.E., M.R., A.M., D.Z., J.C., K.N.-M.), Los Angeles, California, USA.
  • Tyler Davis
    Department of Computer Science, University of California Los Angeles (T.D., A.V., F.S.), Los Angeles, California, USA.
  • Arvind Vepa
    Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA.
  • Esteban Morales
    From the Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles (V.M., S.B., E.M., K.E., M.R., A.M., D.Z., J.C., K.N.-M.), Los Angeles, California, USA.
  • Kiumars Edalati
    Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Mahshad Rafiee
    From the Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles (V.M., S.B., E.M., K.E., M.R., A.M., D.Z., J.C., K.N.-M.), Los Angeles, California, USA.
  • Arthur Martinyan
    From the Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles (V.M., S.B., E.M., K.E., M.R., A.M., D.Z., J.C., K.N.-M.), Los Angeles, California, USA.
  • David Zhang
    Department of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
  • Fabien Scalzo
  • Joseph Caprioli
    Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Kouros Nouri-Mahdavi

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