Abstract：
This article presents a summary of recent advances in the development and use of complex systems using artificial intelligence (AI) in neuro-ophthalmology. 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.
摘要：
本文概述了在神经眼科中使用人工智能（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在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AI和算法的原理。就本文而言，使用可用科学数据库中的特定关键词进行文献检索，累计至2023年4月。在神经眼科开发的AI系统大多实现高灵敏度，特异性和准确性。随后选择单独的AI系统和算法，在文章中进行了简单的描述和比较。个别研究的结果差异很大，根据选择的方法，既定目标,测试的大小，评估集，和评估的参数。已经证明，在AI的帮助下，各种疾病的评估将大大加快，并使将来的诊断更加有效，因此，即使患者数量显着增加，也显示出很有可能成为临床实践中有用的工具。
