Artificial Intelligence Deep Learning Models to Predict Spaceflight Associated Neuro-ocular Syndrome (SANS).

Journal: American journal of ophthalmology
Published Date: Jun 10, 2025

Abstract

PURPOSE: To create deep learning artificial intelligence (AI) models for predicting the development of Spaceflight Associated Neuro-ocular Syndrome (SANS) using OCT imaging of the optic nerve head (ONH).

Authors

  • Alex S Huang
    Hamilton Glaucoma Center, The Viterbi Family Department of Ophthalmology, Shiley Eye Institute, University of California, San Diego, CA, USA. Electronic address: Aahuang@health.ucsd.edu.
  • Jalil Jalili
    Hamilton Glaucoma Center, The Viterbi Family Department of Ophthalmology, Shiley Eye Institute, University of California, San Diego, CA, USA.
  • Evan Walker
    Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, California.
  • Robert N Weinreb
    Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, La Jolla, California.
  • Steven S Laurie
    KBR, Houston, TX, USA.
  • Brandon R Macias
    NASA, Johnson Space Center, Houston, TX, USA.
  • Mark Christopher
    Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California, United States.

Keywords

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