In recent years, interventional pulmonology has advanced rapidly, with bronchoscopy becoming a cornerstone in the diagnosis and treatment of respiratory diseases. The integration of artificial intelligence (AI) technology has established an intelligent framework for the entire bronchoscopic diagnostic process. Image recognition enables the precise localization of airway structures and lesions, while dynamic three-dimensional modeling refines navigation pathways. Multi-dimensional imaging enhances diagnostic capabilities, and a human-machine interaction system improves operational accuracy. AI-assisted training and quality control systems have also been developed. This review explores the applications and progress of AI in interventional pulmonology, emphasising its potential to advance the field towards precision and intelligent medicine as AI algorithms continue to evolve and clinical research deepens.
介入呼吸病学近年来发展迅速，支气管镜检查已成为呼吸系统疾病诊疗的核心手段之一。随着人工智能（AI）技术的应用，为支气管镜诊疗全流程构建了智能化方案：图像识别实现气道结构与病灶精准定位；三维算法动态建模优化导航路径；赋能多维度图像拓展诊断边界；人机交互系统提升操作精度；辅助教学与质控系统的构建。本文对AI在介入呼吸病学中的应用与进展进行了综述，未来随着AI算法的优化和临床研究的深入，将进一步推动介入呼吸病学向精准医疗、智能医疗的方向持续发展。.