Artificial intelligence versus manual screening for the detection of diabetic retinopathy: a comparative systematic review and meta-analysis.

Journal: Frontiers in medicine
Published Date: May 7, 2025

Abstract

BACKGROUND: Diabetic retinopathy is one of the leading causes of blindness globally, among individuals with diabetes mellitus. Early detection through screening can help in preventing disease progression. In recent advancements artificial Intelligence assisted screening has emerged as an alternative to traditional manual screening methods. This diagnostic test accuracy (DTA) review aims to compare the sensitivity and specificity of AI versus manual screening for detecting diabetic retinopathy, focusing on both dilated and un-dilated eyes.

Authors

  • Hasan Nawaz Tahir
    Department of Community Medicine, College of Medicine, Dwadimi, Shaqra University, Shaqra, Saudi Arabia.
  • Naseer Ullah
    Department of Community Medicine, Khyber Medical College Peshawar, Peshawar, Pakistan.
  • Mursala Tahir
    Department of Community Medicine, Liaquat National Hospital and Medical College, Jinnah Sindh Medical University, Karachi, Pakistan.
  • Inbaraj Susai Domnic
    Department of Pharmacology, College of Medicine, Dwadimi, Shaqra University, Shaqra, Saudi Arabia.
  • Ramaprabha Prabhakar
    Department of Physiology, College of Medicine, Shaqra University, Shaqra, Saudi Arabia.
  • Semmal Syed Meerasa
    Department of Physiology, College of Medicine, Shaqra University, Shaqra, Saudi Arabia.
  • Ahmed Ibrahim AbdElneam
    Departments of Clinical Biochemistry and Basic Medical Sciences, College of Medicine, Dwadimi, Shaqra University, Shaqra, Saudi Arabia.
  • Shahnawaz Tahir
    Department of Gastroenterology, Dow University of Health Sciences, Karachi, Pakistan.
  • Yousaf Ali
    Department of Community Medicine, College of Medicine, Dwadimi, Shaqra University, Shaqra, Saudi Arabia.

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