Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review

Seng Hansun   ^{1, 2} , MCS ;   Ahmadreza Argha   ^{3, 4, 5} , PhD ;   Ivan Bakhshayeshi   ^{3, 6} , MRES ;   Arya Wicaksana   ⁷ , MEngSc ;   Hamid Alinejad-Rokny   ^{4, 5, 6} , PhD ;   Greg J Fox   ⁸ , PhD ;   Siaw-Teng Liaw   ⁹ , PhD ;   Branko G Celler   ¹⁰ , PhD ;   Guy B Marks   ^{1, 2, 11} , PhD

¹ School of Clinical Medicine, South West Sydney, UNSW Medicine & Health, UNSW Sydney, Sydney, Australia

² Woolcock Vietnam Research Group, Woolcock Institute of Medical Research, Sydney, Australia

³ Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia

⁴ Tyree Institute of Health Engineering, UNSW Sydney, Sydney, Australia

⁵ Ageing Future Institute, UNSW Sydney, Sydney, Australia

⁶ BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia

⁷ Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia

⁸ NHMRC Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia

⁹ School of Population Health and School of Clinical Medicine, UNSW Sydney, Sydney, Australia

¹⁰ Biomedical Systems Research Laboratory, School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney, Australia

¹¹ Burnet Institute, Melbourne, Australia