Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images.

Journal: American journal of ophthalmology
PMID: 32222370

Abstract

PURPOSE: The prediction of atherosclerosis using retinal fundus images and deep learning has not been shown possible. The purpose of this study was to develop a deep learning model which predicted atherosclerosis by using retinal fundus images and to verify its clinical implications by conducting a retrospective cohort analysis.

Authors

  • Jooyoung Chang
    Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
  • Ahryoung Ko
    Department of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
  • Sang Min Park
    Spine Center and Department of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Seulggie Choi
    Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
  • Kyuwoong Kim
    Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
  • Sung Min Kim
  • Jae Moon Yun
    Department of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
  • Uk Kang
    InTheSmart Co., Ltd., Seoul, South Korea; Seoul National University Hospital Biomedical Research Institute, Seoul, Korea.
  • Il Hyung Shin
    InTheSmart Co., Ltd., Seoul, South Korea.
  • Joo Young Shin
    Department of Ophthalmology, Dongguk University Ilsan Hospital, Goyang, Korea.
  • Taehoon Ko
    Office of Hospital Information, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
  • Jinho Lee
    Department of Ophthalmology.
  • Baek-Lok Oh
    Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea.
  • Ki Ho Park
    Department of Ophthalmology.

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