Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs.

Journal: The Lancet. Digital health
PMID:

Abstract

BACKGROUND: Coronary artery calcium (CAC) score is a clinically validated marker of cardiovascular disease risk. We developed and validated a novel cardiovascular risk stratification system based on deep-learning-predicted CAC from retinal photographs.

Authors

  • Tyler Hyungtaek Rim
    Department of Ocular Epidemiology, Singapore Eye Research Institute, Singapore, Singapore.
  • Chan Joo Lee
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Yih-Chung Tham
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore.
  • Ning Cheung
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore.
  • Marco Yu
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Geunyoung Lee
    MediWhale, Seoul, South Korea.
  • Youngnam Kim
    Medi Whale Inc., Seoul, South Korea.
  • Daniel S W Ting
    Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK. Electronic address: daniel.ting.s.w@singhealth.com.sg.
  • Crystal Chun Yuen Chong
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Yoon Seong Choi
    Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea.
  • Tae Keun Yoo
  • Ik Hee Ryu
    B&VIIt Eye Center, Seoul, South Korea.
  • Su Jung Baik
    Healthcare Research Team, Health Promotion Center, Severance Gangnam Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Young Ah Kim
    Department of Medical Informatics, Yonsei University Health System, Seoul, Korea.
  • Sung Kyu Kim
    Philip Medical Center, Bundang, Seongnam, South Korea.
  • Sang-Hak Lee
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea; Integrated Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, South Korea.
  • Byoung Kwon Lee
    Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Seok-Min Kang
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Edmund Yick Mun Wong
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Hyeon Chang Kim
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Sung Soo Kim
    The Heart Center of Chonnam National University Hospital, 42 Jaebongro, Dong-gu, Gwangju 501-757, South Korea.
  • Sungha Park
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea; Integrated Research Center for Cerebrovascular and Cardiovascular Disease, Yonsei University College of Medicine, Seoul, South Korea.
  • Ching-Yu Cheng
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
  • Tien Yin Wong
    Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.