Utility of an artificial intelligence-based lung CT airway model in the quantitative evaluation of large and small airway lesions in patients with chronic obstructive pulmonary disease

Utility of an artificial intelligence-based lung CT airway model in the quantitative evaluation of large and small airway lesions in patients with chronic obstructive pulmonary disease

Abstract Background Accurate quantification of the extent of bronchial damage across various airway levels in chronic obstructive pulmonary disease (COPD) remains a challenge. In this study, artificial intelligence (AI) was employed to develop an airway segmentation model to investigate the morpholo...

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Bibliographic Details
Main Authors: Zheng Liu, Jing Li, Bo Li, Guozhen Yi, Shaoqian Pang, Ruinan Zhang, Peixiu Li, Zhaoping Yin, Jing Zhang, Bingxin Lv, Jingjing Yan, Jiao Ma
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Pulmonary Medicine
Subjects:
Airway model
Airway wall thickness
Chronic obstructive pulmonary disease
Lung function grade
Support vector machine
Online Access:https://doi.org/10.1186/s12890-025-03848-x
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