Prediction of Axial Length From Macular Optical Coherence Tomography Using Deep Learning Model.

Journal: Translational vision science & technology
PMID: 39264604

Abstract

PURPOSE: The purpose of this study was to develop a deep learning model for predicting the axial length (AL) of eyes using optical coherence tomography (OCT) images.

Authors

  • Richul Oh
    Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea .
  • Myeongkyun Kang
    AI Team, INFINYX, Daegu, Republic of Korea.
  • Jeeyun Ahn
    Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea.
  • Eun Kyoung Lee
    Division of Nephrology, Department of Internal Medicine, Dankook University Hospital, Dankook University College of Medicine, Cheonan, Korea.
  • Kunho Bae
    Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea.
  • Un Chul Park
  • Kyu Hyung Park
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
  • Chang Ki Yoon

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