BackgroundArtificial intelligence (AI) has rapidly advanced in the medical field, leveraging its intelligence and automation for the management of various diseases. Brain arteriovenous malformations (AVM) are particularly noteworthy, experiencing rapid development in recent years and yielding remarkable results. This paper aims to summarize the applications of AI in the management of AVMs management.MethodsLiteratures published in PubMed during 1999–2022, discussing AI application in AVMs management were reviewed.ResultsAI algorithms have been applied in various aspects of AVM management, particularly in machine learning and deep learning models. Automatic lesion segmentation or delineation is a promising application that can be further developed and verified. Prognosis prediction using machine learning algorithms with radiomic-based analysis is another meaningful application.ConclusionsAI has been widely used in AVMs management. This article summarizes the current research progress, limitations and future research directions.

中文翻译：

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人工智能在脑动静脉畸形中的应用：血管结构、临床症状和预后预测

背景人工智能（AI）在医疗领域迅速发展，利用其智能化和自动化来管理各种疾病。尤其值得关注的是脑动静脉畸形（AVM），近年来发展迅速，成效显着。本文旨在总结人工智能在动静脉畸形管理中的应用。方法对1999-2022年间PubMed发表的讨论人工智能在动静脉畸形管理中应用的文献进行回顾。结果人工智能算法已应用于动静脉畸形管理的各个方面，特别是在机器学习方面和深度学习模型。自动病变分割或描绘是一个有前景的应用，可以进一步开发和验证。使用机器学习算法和基于放射组学的分析进行预后预测是另一个有意义的应用。结论人工智能已广泛应用于动静脉畸形管理。本文总结了当前的研究进展、局限性以及未来的研究方向。