Sex determination using color fundus parameters in older adults of Kumejima population study.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published Date: Aug 1, 2023

Abstract

PURPOSE: Deep learning artificial intelligence can determine the sex using only fundus photographs. However, the factors used by deep learning to determine the sex are not visible. Therefore, the purpose of the study was to determine whether the sex of an older individual can be determined by regression analysis of their color fundus photographs (CFPs).

Authors

  • Takehiro Yamashita
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Ryo Asaoka
    Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
  • Aiko Iwase
    Tajimi Iwase Eye Clinic, Tajimi, Japan.
  • Hiroshi Sakai
    Urasoe Sakai Eye Clinic, Okinawa, Japan.
  • Hiroto Terasaki
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Taiji Sakamoto
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan. tsakamot@m3.kufm.kagoshima-u.ac.jp.
  • Makoto Araie
    Kanto Central Hospital of the Mutual Aid Association of Public School Teachers, Tokyo, Japan.

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