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Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
Published on: October 13, 2023
[Application and progress of artificial intelligence technology in interventional pulmonology]
1National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
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.
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