Prediction and Detection of Glaucomatous Visual Field Progression Using Deep Learning on Macular Optical Coherence Tomography.

Journal: Journal of glaucoma
Published Date: Apr 1, 2024

Abstract

PRCIS: A deep learning model trained on macular OCT imaging studies detected clinically significant functional glaucoma progression and was also able to predict future progression.

Authors

  • Jonathan Huang
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.
  • Galal Galal
    Research and Development, Northwestern Medicine Information Services, Chicago.
  • Vladislav Mukhin
    Anesthesiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Mozziyar Etemadi
    From the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta (O.T.I., M.B.P., A.Q.J., A.D., A.O.B.); Division of Cardiology (S.D., T.D.M., L.K.) and Department of Bioengineering and Therapeutic Sciences (S.R.), University of California, San Francisco; and Department of Anesthesiology and Department of Biomedical Engineering, Northwestern University, Chicago, IL (M.E., J.A.H.).
  • Angelo P Tanna
    Department of Ophthalmology.

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