人工智能是以计算机算法为基础，通过模拟人类智能，对大量数据进行分析来验证算法的灵敏度与特异性并不断优化自身，以实现完成指定任务的目的。近几年，人工智能技术在医疗领域的应用日益广泛，其中以介入放射学领域尤为显著。人工智能可以通过图像识别和分析技术，帮助医师快速准确地诊断和治疗疾病。在介入治疗中，人工智能可以辅助医师进行血管造影、肿瘤消融、血管内治疗等操作，提高手术的精准度和安全性。同时，人工智能还可以利用大数据分析患者的影像数据，为医师提供个性化的治疗方案，同时结合机器人技术进行微创手术，减少手术风险和患者的恢复时间。然而，人工智能辅助介入治疗也面临一系列挑战，如隐私保护、数据安全等。

Artificial intelligence is based on computer algorithms and simulates human intelligence to analyze large amounts of data to verify the sensitivity and specificity of algorithms and continuously optimize itself to achieve the goal of completing designated tasks. In recent years, the application of artificial intelligence technology in the medical field has become increasingly widespread, especially in interventional radiology. Artificial intelligence can use image recognition and analysis technology to help doctors quickly and accurately diagnose and treat diseases. In interventional treatment, artificial intelligence can assist doctors in performing angiography, tumor ablation, and vascular interventions, improving the precision and safety of the operation. At the same time, artificial intelligence can also utilize big data analysis to analyze the imaging data of patients and provide personalized treatment plans for doctors, and combine robotic technology to perform minimally invasive surgery to reduce surgical risks and the recovery time of patients. However, artificial intelligence-assisted interventional treatment also faces a series of challenges, such as privacy protection and data security.