Benchmarking the diagnostic test accuracy of certified AI products for screening pulmonary tuberculosis in digital chest radiographs: Preliminary evidence from a rapid review and meta-analysis

Author:

Hua DavidORCID,Nguyen Khang,Petrina Neysa,Young Noel,Cho Jin-Gun,Yap Adeline,Poon Simon K.

Publisher

Elsevier BV

Subject

Health Informatics

Reference29 articles.

1. World Health Organisation, Global Tuberculosis Report, 2022 [Online], Available: https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2022.

2. S.Z. Lynn, The World Health Organization Recommended TB Diagnostic Tools, in K. Jean-Marie Ntumba (Ed.), Tuberculosis, IntechOpen, Rijeka, 2018, p. Ch. 4.

3. C. Coulter, Tuberculosis testing, Aust. J. Gen. Pract. 41 (2012) 489-492, 07/10/2012 [Online], Available: https://www.racgp.org.au/afp/2012/july/tuberculosis-testing.

4. World Health Organization, Chest radiography in tuberculosis detection: summary of current WHO recommendations and guidance on programmatic approaches (no. WHO/HTM/TB/2016.20), World Health Organization, Geneva, 2016 (in en).

5. Stop TB Partnership and FIND, AI Products for TB, https://www.ai4hlth.org/ (accessed December 18, 2022).

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