Retinal image analytics detects white matter hyperintensities in healthy adults.

Journal: Annals of clinical and translational neurology
Published Date: Nov 15, 2018

Abstract

OBJECTIVE: We investigated whether an automatic retinal image analysis (ARIA) incorporating machine learning approach can identify asymptomatic older adults harboring high burden of white matter hyperintensities (WMH) using MRI as gold standard.

Authors

  • Alexander Y Lau
    Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.
  • Vincent Mok
    Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.
  • Jack Lee
    Clinical Trials and Biostatistics Lab CUHK Shenzhen Research Institute Shenzhen China.
  • Yuhua Fan
    Department of Neurology First Affiliated Hospital of Sun Yat-Sen University Guangzhou Guangdong China.
  • Jinsheng Zeng
    Department of Neurology First Affiliated Hospital of Sun Yat-Sen University Guangzhou Guangdong China.
  • Bonnie Lam
    Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.
  • Adrian Wong
    Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.
  • Chloe Kwok
    Division of Biostatistics Jockey Club School of Public Health and Primary Care Faculty of Medicine The Chinese University of Hong Kong New Territories Hong Kong.
  • Maria Lai
    Division of Biostatistics Jockey Club School of Public Health and Primary Care Faculty of Medicine The Chinese University of Hong Kong New Territories Hong Kong.
  • Benny Zee
    Clinical Trials and Biostatistics Lab CUHK Shenzhen Research Institute Shenzhen China.

Keywords

External Resources

Popular Topics
Recent Journals