The Role of Nurses and Optical Technicians in Using Ai for Early Vision Problem Detection

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Maram Khalid Ahmad Harbi, Najwa Ahmad Abotalib, Alaa Ibrahim Mohammed Jeribi, Nasreen Nasser Salhabi, Fatim Ali Maha Ajeebi, Enas Ahmed Mukbish Madkhali, Ghaym Ahmad Hamad, Latifah Habbas Al Shammri, Abdulaziz Subayyil Naja Almutairi, Azzam Mohammed Aldayel, Asiah Zaki Al Jawad, Samia Mohammad Aeyd Alamri, Abeer Omar Amer Albishri, Mesfer Mofleh Alshahrani, Abdulaziz Mohammed Algashlan

Abstract

The integration of Artificial Intelligence (AI) in healthcare has revolutionized diagnostic approaches, particularly in the field of ophthalmology and vision care. Nurses and optical technicians play a crucial role in the early detection of vision problems, especially with the implementation of AI-powered tools and systems. AI has enhanced the efficiency, accuracy, and speed of diagnosing vision-related issues by analyzing vast amounts of imaging data, medical histories, and patient symptoms. This article explores the collaborative role of nurses and optical technicians in utilizing AI for early vision problem detection. It examines the technologies involved, the responsibilities of these professionals, and how AI enhances their ability to identify and manage conditions such as glaucoma, diabetic retinopathy, and macular degeneration. Furthermore, it addresses the challenges and ethical considerations of AI integration in vision care, as well as the future of AI in this field.

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