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

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.

Authors

Publication Details

Journal
Power System Technology
Published
2024-12-20
DOI
https://doi.org/10.52783/pst.1167
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Maram Khalid Ahmad Harbi
Power System Technology
Biometric Identification and Security
article

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

Maram Khalid Ahmad Harbi
article en

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.

Power System TechnologyVol. 48(4)
Openalex Percentile: Top 68%
Biometric Identification and Security
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