The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.

Journal: Frontiers in medicine
Published Date:

Abstract

INTRODUCTION: Diabetic retinopathy (DR) is the leading cause of preventable blindness in Saudi Arabia. With a prevalence of up to 40% of patients with diabetes, DR constitutes a significant public health burden on the country. Saudi Arabia has not yet established a national screening program for DR. Mounting evidence shows that Artificial intelligence (AI)-based DR screening programs are slowly becoming superior to traditional screening, with the COVID-19 pandemic accelerating research into this topic as well as changing the outlook of the public toward it. The main objective of this study is to evaluate the perception and acceptance of AI in DR screening among eye care professionals in Saudi Arabia.

Authors

  • Abdulaziz A Barakat
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Omar Mobarak
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Haroon Ahmed Javaid
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Mhd Rasheed Awad
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Karam Hamweyah
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Abderrahman Ouban
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Selwa A F Al-Hazzaa
    King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia.

Keywords

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