[Application and progress of artificial intelligence technology in interventional pulmonology].

Journal: Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Published Date: Jul 12, 2025

Abstract

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.

Authors

  • J S Lin
    From the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas.
  • J F Huang
    Department of Forensic Science, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.
  • S Y Li
    Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.

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