Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes.

Journal: Ophthalmology. Glaucoma
Published Date: Nov 8, 2019

Abstract

PURPOSE: The purpose of this study was to develop a machine learning model to forecast future circumpapillary retinal nerve fiber layer (cpRNFL) thickness in eyes of healthy, glaucoma suspect, and glaucoma participants from multimodal temporal data.

Authors

  • Suman Sedai
    IBM Research-Australia, Melbourne, Australia.
  • Bhavna Antony
    IBM Research-Australia, Melbourne, Australia.
  • Hiroshi Ishikawa
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Gadi Wollstein
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Joel S Schuman
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Rahil Garnavi
    IBM Research-Australia, Melbourne, Australia.

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