Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence.

Journal: PloS one
Published Date: May 14, 2021

Abstract

PURPOSE: Abnormalities of the running pattern of choroidal vessel have been reported in eyes with pachychoroid diseases. However, it is difficult for clinicians to judge the running pattern with high reproducibility. Thus, the purpose of this study was to compare the degree of concordance of the running pattern of the choroidal vessels between that determined by artificial intelligence (AI) to that determined by experienced clinicians.

Authors

  • Shozo Sonoda
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Hideki Shiihara
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Hiroto Terasaki
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Naoko Kakiuchi
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Ryoh Funatsu
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Masatoshi Tomita
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Yuki Shinohara
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Eisuke Uchino
    Sonoda Eye Clinic, Kagoshima, Japan.
  • Takuma Udagawa
    R&D Division, Topcon Corporation, Tokyo, Japan.
  • Guangzhou An
    R&D Division, TOPCON Corporation, Tokyo, Japan.
  • Masahiro Akiba
    R&D Division, TOPCON Corporation, Tokyo, Japan.
  • Hideo Yokota
    Cloud-Based Eye Disease Diagnosis Joint Research Team, RIKEN, Wako, Japan.
  • Taiji Sakamoto
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan. tsakamot@m3.kufm.kagoshima-u.ac.jp.

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