Vision transformer-based stratification of pre/diabetic and pre/hypertensive patients from retinal photographs for 3PM applications.

Journal: The EPMA journal
Published Date:

Abstract

OBJECTIVE: Diabetes and hypertension pose significant health risks, especially when poorly managed. Retinal evaluation though fundus photography can provide non-invasive assessment of these diseases, yet prior studies focused on disease presence, overlooking control statuses. This study evaluated vision transformer (ViT)-based models for assessing the presence and control statuses of diabetes and hypertension from retinal images.

Authors

  • Krithi Pushpanathan
    Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.
  • Yang Bai
    Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding 071000, Hebei, China.
  • Xiaofeng Lei
    Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Jocelyn Hui Lin Goh
    Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.
  • Can Can Xue
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Samantha Min Er Yew
    Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Miaoli Chee
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Ten Cheer Quek
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Qingsheng Peng
    Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
  • Zhi Da Soh
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Marco Chak Yan Yu
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Jun Zhou
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.
  • Yaxing Wang
    Beijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital Eye Center, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China. yaxingw@gmail.com.
  • Jost B Jonas
    Department of Ophthalmology, Ruprecht-Karls University of Heidelberg, Heidelberg, Germany.
  • Xiaofei Wang
    Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • Xueling Sim
    Saw Swee Hock School of Public Health, National University of Singaporeand, National University Health System , Singapore, Singapore.
  • E Shyong Tai
    Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Charumathi Sabanayagam
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
  • Rick Siow Mong Goh
    A*STAR, Singapore, Singapore.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Ching-Yu Cheng
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
  • 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.

Keywords

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