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Distinguishing nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis using visual machine learning: a Chinese multicenter prospective surveillance cohort study

Crossref DOI link: https://doi.org/10.1186/s12890-026-04505-7

Published Online: 2026-08-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wu, Chucai

Wei, Jiaojiao

Zhang, Fuzhen

Tan, Yaoju

Pang, Yu

Li, Ling
Funding

Funding for this research was provided by:

Beijing Hospitals Authority Ascent Plan (DFL20221401)

Guangdong Basic and Applied Basic Research Foundation (2023A1515012629)
License Information

Text and Data Mining valid from 2026-08-25

Accepted Manuscript valid from 2026-08-25
More Information

Article History

Received: 9 March 2026

Accepted: 13 July 2026

First Online: 25 August 2026

Declarations

Ethics approval and consent to participate: The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Guangzhou Chest Hospital [2019(66)]). Written informed consent was obtained from all participants prior to enrollment.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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