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.