Artificial Intelligence in Paediatric Tuberculosis-Reference-Cited by-同舟云学术

Artificial Intelligence in Paediatric Tuberculosis

Published:2023-01-28 Issue:9 Volume:53 Page:1733-1745
ISSN:1432-1998
Container-title:Pediatric Radiology
language:en
Short-container-title:Pediatr Radiol

Author:

Naidoo Jaishree^ORCID,Shelmerdine Susan Cheng^ORCID,-Charcape Carlos F. Ugas^ORCID,Sodhi Arhanjit Singh^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Pediatrics, Perinatology and Child Health

Link

https://link.springer.com/content/pdf/10.1007/s00247-023-05606-9.pdf

Reference65 articles.

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2. Global tuberculosis report 2020. Geneva, World Health Organization. https://www.who.int/publications/i/item/9789240013131 /. Accessed 1 September 2022

3. Wang XW, Pappoe F, Huang Y et al (2015) Xpert MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in children: a meta-analysis. Clin Lab 61:1775–1785

4. Pillay T, Andronikou S, Zar HJ (2020) Chest imaging in paediatric pulmonary TB. Paediatr Respir Rev 36:65–72

5. WHO consolidated guidelines on tuberculosis: Module 2: screening – systematic screening for tuberculosis disease [Internet] (2021) Geneva: World Health Organization https://www.who.int/publications/i/item/9789240022676 /.Accessed 1 September 2022

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