In-Person Verification of Deep Learning Algorithm for Diabetic Retinopathy Screening Using Different Techniques Across Fundus Image Devices.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: To evaluate the clinical performance of an automated diabetic retinopathy (DR) screening model to detect referable cases at Siriraj Hospital, Bangkok, Thailand.

Authors

  • Nida Wongchaisuwat
    Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Adisak Trinavarat
    Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Nuttawut Rodanant
    Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Somanus Thoongsuwan
    Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Nopasak Phasukkijwatana
    Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Supalert Prakhunhungsit
    Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Lukana Preechasuk
    Siriraj Diabetes Center of Excellence, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Papis Wongchaisuwat
    Department of Industrial Engineering, Kasetsart University, Bangkok, Thailand.