Head to head comparison of diagnostic performance of three non-mydriatic cameras for diabetic retinopathy screening with artificial intelligence.

Journal: Eye (London, England)
Published Date: Mar 11, 2024

Abstract

BACKGROUND: Diabetic Retinopathy (DR) is a leading cause of blindness worldwide, affecting people with diabetes. The timely diagnosis and treatment of DR are essential in preventing vision loss. Non-mydriatic fundus cameras and artificial intelligence (AI) software have been shown to improve DR screening efficiency. However, few studies have compared the diagnostic performance of different non-mydriatic cameras and AI software.

Authors

  • Mehmet Erkan Doğan
    Department of Ophthalmology, Akdeniz University Faculty of Medicine, Antalya, Turkey. m.erkandogan@gmail.com.
  • Ahmet Burak Bilgin
    Department of Ophthalmology, Akdeniz University Faculty of Medicine, Antalya, Turkey.
  • Ramazan Sari
    Endocrinology and Metabolic Department, Akdeniz University Faculty of Medicine, Antalya, Turkey.
  • Mehmet Bulut
    Department of Ophthalmology, Antalya Training and Research Hospital, Antalya, Turkey.
  • Yusuf Akar
    Endocrinology and Metabolic Department, Akdeniz University Faculty of Medicine, Antalya, Turkey.
  • Mustafa Aydemir
    Department of Ophthalmology, Akdeniz University Faculty of Medicine, Antalya, Turkey.

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