Evaluating retinal blood vessels for predicting white matter hyperintensities in ischemic stroke: A deep learning approach.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PMID: 39393513

Abstract

OBJECTIVE: This study aims to investigate whether a deep learning approach incorporating retinal blood vessels can effectively identify ischemic stroke patients with a high burden of White Matter Hyperintensities (WMH) using Nuclear Magnetic Resonance Imaging (MRI) as the gold standard.

Authors

  • Yuanyuan Zhuo
    Department of Acupuncture and Moxibustion, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
  • Weihao Gao
    Tsinghua Shenzhen International Graduate School, Shenzhen, China.
  • Zile Wu
    Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
  • Lijiao Jiang
    Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
  • Yan Luo
    School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
  • Xiaoming Ma
    School of Clinical Medicine, North China University of Science and Technology, Tangshan, China, xiaoming_ma@foxmail.com.
  • Zhuo Deng
    Tsinghua Shenzhen International Graduate School, Shenzhen, China.
  • Lan Ma
    School of Math and Statistic, Suzhou University, Suzhou, Anhui 23400, China.
  • Jiaman Wu
    Department of Traditional Chinese Medicine, Shenzhen Maternal and Child Healthcare Hospital, Shenzhen, China. Electronic address: wujiaman202@163.com.

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