The Current State of Artificial Intelligence in Neuro-Ophthalmology. A Review.

Q4 Medicine Ceska a Slovenska Oftalmologie Pub Date : 2023-01-01 DOI:10.31348/2023/33
M Lapka, Z Straňák
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引用次数: 0

Abstract

This article presents a  summary of recent advances in the development and use of complex systems using artificial intelligence (AI) in neuroophthalmology. The aim of the following article is to present the principles of AI and algorithms that are currently being used or are still in the stage of evaluation or validation within the neuro-ophthalmology environment. For the purpose of this text, a literature search was conducted using specific keywords in available scientific databases, cumulatively up to April 2023. The AI systems developed across neuro-ophthalmology mostly achieve high sensitivity, specificity and accuracy. Individual AI systems and algorithms are subsequently selected, simply described and compared in the article. The results of the individual studies differ significantly, depending on the chosen methodology, the set goals, the size of the test, evaluated set, and the evaluated parameters. It has been demonstrated that the evaluation of various diseases will be greatly speeded up with the help of AI and make the diagnosis more efficient in the future, thus showing a high potential to be a useful tool in clinical practice even with a significant increase in the number of patients.

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人工智能在神经眼科学中的应用现状。复习一下。
本文介绍了在神经眼科学中使用人工智能(AI)开发和使用复杂系统的最新进展。以下文章的目的是介绍神经眼科环境中目前正在使用或仍处于评估或验证阶段的人工智能和算法的原理。为了本文的目的,我们在现有的科学数据库中使用特定的关键词进行了文献检索,累计到2023年4月。跨神经眼科学开发的人工智能系统大多具有高灵敏度、特异性和准确性。随后,本文对各个AI系统和算法进行了选择、简单描述和比较。个别研究的结果差异很大,这取决于所选择的方法、设定的目标、测试的规模、评估集和评估参数。事实证明,在AI的帮助下,各种疾病的评估将大大加快,并在未来提高诊断效率,因此即使患者数量显着增加,也有很大的潜力成为临床实践中的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ceska a Slovenska Oftalmologie
Ceska a Slovenska Oftalmologie Medicine-Ophthalmology
CiteScore
0.80
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