Accuracy of Integrated Artificial Intelligence Grading Using Handheld Retinal Imaging in a Community Diabetic Eye Screening Program.

Journal: Ophthalmology science
Published Date: Dec 15, 2023

Abstract

PURPOSE: To evaluate mydriatic handheld retinal imaging performance assessed by point-of-care (POC) artificial intelligence (AI) as compared with retinal image graders at a centralized reading center (RC) in identifying diabetic retinopathy (DR) and diabetic macular edema (DME).

Authors

  • Recivall P Salongcay
    Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
  • Lizzie Anne C Aquino
    Philippine Eye Research Institute, University of the Philippines, Manila, Philippines.
  • Glenn P Alog
    Philippine Eye Research Institute, University of the Philippines, Manila, Philippines.
  • Kaye B Locaylocay
    Philippine Eye Research Institute, University of the Philippines, Manila, Philippines.
  • Aileen V Saunar
    Philippine Eye Research Institute, University of the Philippines, Manila, Philippines.
  • Tunde Peto
    Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
  • Paolo S Silva
    Philippine Eye Research Institute, University of the Philippines, Manila, Philippines.

Keywords

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