Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.

Journal: The Lancet. Digital health
PMID:

Abstract

BACKGROUND: In current approaches to vision screening in the community, a simple and efficient process is needed to identify individuals who should be referred to tertiary eye care centres for vision loss related to eye diseases. The emergence of deep learning technology offers new opportunities to revolutionise this clinical referral pathway. We aimed to assess the performance of a newly developed deep learning algorithm for detection of disease-related visual impairment.

Authors

  • 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.
  • Ayesha Anees
    Institute of High Performance Computing, A∗STAR, Singapore.
  • Liang Zhang
  • 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.
  • Tyler Hyungtaek Rim
    Department of Ocular Epidemiology, Singapore Eye Research Institute, Singapore, Singapore.
  • Simon Nusinovici
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Haslina Hamzah
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Miao-Li Chee
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Gabriel Tjio
  • Shaohua Li
    Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai, 200072, P.R.China.tjdxsq@tongji.edu.cn.
  • Xinxing Xu
    A*STAR, Singapore, Singapore.
  • Rick Goh
    Institute of High Performance Computing, A*STAR, Singapore.
  • Fangyao Tang
  • Carol Yim-Lui Cheung
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Ya Xing Wang
    Beijing Visual Science and Translational Eye Research Institute (BERI), Eye Center of Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
  • Vinay Nangia
    Suraj Eye Institute, Nagpur, India.
  • Jost B Jonas
    Department of Ophthalmology, Ruprecht-Karls University of Heidelberg, Heidelberg, Germany.
  • Bamini Gopinath
    Centre for Vision Research, Westmead Institute for Medical Research, Westmead, New South Wales, Australia.
  • Paul Mitchell
    Centre for Vision Research, Department of Ophthalmology, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia.
  • Rahat Husain
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Duke-NUS Medical School, Singapore.
  • Ecosse Lamoureux
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Duke-NUS Medical School, Singapore.
  • Charumathi Sabanayagam
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
  • Jie Jin Wang
    Centre for Vision Research, Department of Ophthalmology, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia; Health Services and Systems Research, Duke-NUS Medical School, National University of Singapore, Singapore, Republic of Singapore.
  • Tin Aung
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • 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.
  • Ching-Yu Cheng
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.