An AI model to estimate visual acuity based solely on cross-sectional OCT imaging of various diseases.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published Date: May 11, 2023

Abstract

PURPOSE: To develop an artificial intelligence (AI) model for estimating best-corrected visual acuity (BCVA) using horizontal and vertical optical coherence tomography (OCT) scans of various retinal diseases and examine factors associated with its accuracy.

Authors

  • Satoru Inoda
    Department of Ophthalmology, Jichi Medical University, Tochigi, Japan.
  • Hidenori Takahashi
  • Yusuke Arai
    Department of Ophthalmology, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke-shi, Tochigi, Japan.
  • Hironobu Tampo
    Department of Ophthalmology, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke-shi, Tochigi, Japan.
  • Yoshitsugu Matsui
    Department of Ophthalmology, Mie University Graduate School of Medicine, Tsu, Japan.
  • Hidetoshi Kawashima
    Department of Ophthalmology, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke-shi, Tochigi, Japan.
  • Yasuo Yanagi
    DeepEyeVision, Inc, Jichi Medical University, Shimotsuke-Shi, Tochigi, 329-0498, Japan.

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