Kono Kenichi
iMed Technologies, Tokyo, Japan.
J Neuroendovasc Ther. 2025;19(1). doi: 10.5797/jnet.ra.2024-0107. Epub 2025 Feb 27.
Recent advances in artificial intelligence (AI) have significantly transformed neuroendovascular procedures, offering innovative solutions for image analysis, procedural assistance, and clinical decision-making. This review examines the current state and future potential of AI applications in neuroendovascular interventions, focusing on 3 topics: AI-based image recognition, real-time procedural assistance, and future developments. From a research perspective, deep learning algorithms have demonstrated reasonable accuracy in vascular structure analysis and device detection, successfully identifying critical conditions such as vascular perforation, aneurysm location, and vessel occlusions. Real-time AI assistance systems may have potential clinical utility in various procedures, including carotid artery stenting, aneurysm coiling, and liquid embolization, potentially enhancing procedural safety and operator awareness. The future of AI in neuroendovascular procedures shows promise in integration with robotic systems and applications in medical education. While current systems have some limitations, ongoing technological advances suggest an expanding role of AI in enhancing procedural safety, standardization, and patient outcomes.
人工智能（AI）的最新进展显著改变了神经血管介入手术，为图像分析、手术辅助和临床决策提供了创新解决方案。本综述探讨了AI在神经血管介入治疗中的现状和未来潜力，重点关注三个主题：基于AI的图像识别、实时手术辅助和未来发展。从研究角度来看，深度学习算法在血管结构分析和器械检测方面已显示出合理的准确性，成功识别出血管穿孔、动脉瘤位置和血管闭塞等关键情况。实时AI辅助系统在包括颈动脉支架置入术、动脉瘤栓塞和液体栓塞等各种手术中可能具有潜在的临床应用价值，有可能提高手术安全性和术者的认知。AI在神经血管介入手术中的未来在与机器人系统集成以及医学教育应用方面展现出前景。虽然当前系统存在一些局限性，但持续的技术进步表明AI在提高手术安全性、标准化和患者预后方面的作用将不断扩大。
