Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.

Journal: The Lancet. Digital health
PMID: 33328056

Abstract

BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus photographs. We used a cost-minimisation analysis to evaluate the potential savings of two deep learning approaches as compared with the current human assessment: a semi-automated deep learning model as a triage filter before secondary human assessment; and a fully automated deep learning model without human assessment.

Authors

  • Yuchen Xie
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Quang D Nguyen
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Haslina Hamzah
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Gilbert Lim
    School of Computing, National University of Singapore.
  • Valentina Bellemo
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Dinesh V Gunasekeran
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Michelle Y T Yip
    Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore.
  • Xin Qi Lee
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Wynne Hsu
    School of Computing, National University of Singapore.
  • Mong Li Lee
    School of Computing, National University of Singapore, Singapore.
  • Colin S Tan
    Tan Tock Seng Hospital, National Healthcare Group, Singapore.
  • Hon Tym Wong
    Tan Tock Seng Hospital, National Healthcare Group, Singapore.
  • Ecosse L Lamoureux
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Gavin S W Tan
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore.
  • Tien Y Wong
    Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Eric A Finkelstein
    Lien Center for Palliative Care, Health Services and Systems Research Program, Duke-NUS Graduate Medical School, Singapore.
  • 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.

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