Cesk Slov Oftalmol. 2024;80(4):179-186. doi: 10.31348/2023/33.
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.
本文总结了神经眼科学中使用人工智能 (AI) 开发和应用复杂系统的最新进展。本文旨在介绍目前在神经眼科学环境中使用或仍处于评估或验证阶段的 AI 原理和算法。为此，本文使用特定的关键词在现有的科学数据库中进行了文献检索，截至 2023 年 4 月累计进行。在神经眼科学中开发的 AI 系统大多具有较高的灵敏度、特异性和准确性。本文中，选择、简单描述和比较了个别 AI 系统和算法。由于所选择的方法、设定的目标、测试规模、评估集和评估参数的不同，各个研究的结果存在显著差异。研究表明，借助 AI 可以大大加快对各种疾病的评估速度，并使未来的诊断更加高效，因此即使在患者数量显著增加的情况下，它也显示出成为临床实践中有用工具的巨大潜力。
