Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published Date: Nov 4, 2021

Abstract

PURPOSE: To assess the performance of artificial intelligence in the automated classification of images taken with a tablet device of patients with blepharoptosis and subjects with normal eyelid.

Authors

  • Hitoshi Tabuchi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Daisuke Nagasato
    Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.
  • Hiroki Masumoto
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji, 671-1227, Japan.
  • Mao Tanabe
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Naofumi Ishitobi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Hiroki Ochi
    Department of Medicine, Hiroshima University, Hiroshima, Japan.
  • Yoshie Shimizu
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan.
  • Yoshiaki Kiuchi
    Department of Ophthalmology and Visual Sciences, Graduate School of Biomedical Sciences, Hiroshima University, 1-2-3 Minami, Kasumi, Hioroshima, 734-8553, Japan.

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