Artificial intelligence-assisted endobronchial ultrasound for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis

Abstract Background Endobronchial ultrasound (EBUS) is a widely used imaging modality for evaluating thoracic lymph nodes (LNs), particularly in the staging of lung cancer. Artificial intelligence (AI)-assisted EBUS has emerged as a promising tool to enhance diagnostic accuracy. However, its effecti...

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Bibliographic Details
Main Authors: Fei Tang, Xian-Kui Zha, Wei Ye, Yue-Ming Wang, Ying-Feng Wu, Li-Na Wang, Li-Ping Lyu, Xiao-Mei Lyu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Pulmonary Medicine
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Online Access:https://doi.org/10.1186/s12890-025-03760-4
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