视力
优势和劣势
可靠性(半导体)
考试(生物学)
计算机科学
验光服务
人工智能
心理学
医学
眼科
社会心理学
古生物学
功率(物理)
物理
量子力学
生物
作者
Maryam Ansari,Zafar Shaikh,Abdullah Adil Ansari,Ansari Raheen Bano,Nafisa Mapari
出处
期刊:International Journal of Advanced Research in Science, Communication and Technology
[Naksh Solutions]
日期:2023-04-07
卷期号:: 299-305
标识
DOI:10.48175/ijarsct-9043
摘要
This review paper focuses on the various methods and tools available for measuring visual acuity, a crucial aspect of visual function that is used to diagnose and monitor a wide range of ocular disorders. The paper provides an overview of the basic principles of visual acuity measurement and examines the most used techniques, including Snellen charts, the Rossano-Weiss test electronic Measurement of Visual Acuity (eMOVA)test, and paper-based tests (PBVA). The strengths and weaknesses of each method are discussed, along with the factors that can affect the accuracy and reliability of visual acuity measurements. The paper also considers recent developments in visual acuity testing, such as the use of Natural Language Processing, Machine Learning along with smartphone apps, and explores their potential benefits and limitations. As a whole, this review paper provides a comprehensive and up-to-date analysis of the different approaches to measuring visual acuity and highlights the importance of careful consideration of the choice of the test method in clinical practice.
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