Predicting the likelihood of need for future keratoplasty intervention using artificial intelligence.

Journal: The ocular surface
PMID: 32120005

Abstract

OBJECTIVE: To apply artificial intelligence (AI) for automated identification of corneal condition and prediction of the likelihood of need for future keratoplasty intervention from optical coherence tomography (OCT)-based corneal parameters.

Authors

  • Siamak Yousefi
    Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
  • Hidenori Takahashi
  • Takahiko Hayashi
    Department of Ophthalmology, Yokohama Minami Kyosai Hospital, Kanagawa, Japan.
  • Hironobu Tampo
    Department of Ophthalmology, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke-shi, Tochigi, Japan.
  • Satoru Inoda
    Department of Ophthalmology, Jichi Medical University, Tochigi, Japan.
  • Yusuke Arai
    Department of Ophthalmology, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke-shi, Tochigi, Japan.
  • Hitoshi Tabuchi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Penny Asbell
    Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.

Keywords

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