The Relationship Between Artificial Intelligence-Assisted OCT Angiography-Derived Foveal Avascular Zone Parameters and Visual-Field Defect Progression in Eyes with Open-Angle Glaucoma.

Journal: Ophthalmology science
Published Date: Aug 20, 2023

Abstract

PURPOSE: To investigate clinical factors associated with foveal avascular zone (FAZ) parameters obtained using OCT angiography (OCTA) with assistance from a previously developed artificial intelligence (AI) platform in eyes with open-angle glaucoma (OAG).

Authors

  • Takahiro Ninomiya
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Naoki Kiyota
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Parmanand Sharma
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Kazuko Omodaka
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Noriko Himori
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Masayuki Yasuda
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Hiroshi Kunikata
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Toru Nakazawa
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.

Keywords

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