Amani Abdulmanam Alali
6th year medical student Tabuk university, Saudi Arabia
Publications
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Research Article
Early Detection Of Diabetic Retinopathy Using Artificial Intelligence Impact On Physical Performance And Psychosocial Ou
Author(s): Moamen Abdelfadil Ismail*, Warif Nasser Alghofaily, Najla Abdelhadi Abdalla, Ghazi Awad A Al Qahtani, Talal Abdulmalek Almalki, Amani Abdulmanam Alali, Abdullah Eid A Alsobaie, Asayil Ahmed Alrasheed, Omama Abubaker Alamin, Batool Mohammed alhashidi and Taha Isam Khayat
Background: Diabetic retinopathy (DR) remains a leading cause of preventable vision impairment globally. Traditional screening programs are resource-intensive and underutilized, especially in low- and middle-income regions. The integration of artificial intelligence (AI) into ophthalmology presents a promising solution to enhance early detection and diagnosis of DR. Objectives: To systematically review the existing literature evaluating the diagnostic performance, feasibility, and implementation of AI-based models for early detection of diabetic retinopathy. Methods: A systematic search was conducted across PubMed, Scopus, Web of Science, Embase, and IEEE Xplore for peer-reviewed studies published between 2010 and May 2024. Eligibility criteria included adult diabetic populations screened using AI tools, with outco.. Read More»