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

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Bibliographic Details
Title: Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review.
Authors: Hansun S; School of Clinical Medicine, South West Sydney, UNSW Medicine & Health, UNSW Sydney, Sydney, Australia.; Woolcock Vietnam Research Group, Woolcock Institute of Medical Research, Sydney, Australia., Argha A; Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; Tyree Institute of Health Engineering, UNSW Sydney, Sydney, Australia.; Ageing Future Institute, UNSW Sydney, Sydney, Australia., Bakhshayeshi I; Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia., Wicaksana A; Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia., Alinejad-Rokny H; Tyree Institute of Health Engineering, UNSW Sydney, Sydney, Australia.; Ageing Future Institute, UNSW Sydney, Sydney, Australia.; BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia., Fox GJ; NHMRC Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia., Liaw ST; School of Population Health and School of Clinical Medicine, UNSW Sydney, Sydney, Australia., Celler BG; Biomedical Systems Research Laboratory, School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney, Australia., Marks GB; School of Clinical Medicine, South West Sydney, UNSW Medicine & Health, UNSW Sydney, Sydney, Australia.; Woolcock Vietnam Research Group, Woolcock Institute of Medical Research, Sydney, Australia.; Burnet Institute, Melbourne, Australia.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Mar 07; Vol. 27, pp. e69068. Date of Electronic Publication: 2025 Mar 07.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1438-8871
DOI:10.2196/69068