This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Decision Support for Health Professionals (1539) mHealth for Screening (296) Clinical Information and Decision Making (1915) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Machine Learning (2076) Surveillance Systems (514) Infectious Diseases (non-STD/STI) (1726) Artificial Intelligence (2129)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69068, first published .
Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review

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

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

Authors of this article:

Seng Hansun1, 2 Author Orcid Image ;   Ahmadreza Argha3, 4, 5 Author Orcid Image ;   Ivan Bakhshayeshi3, 6 Author Orcid Image ;   Arya Wicaksana7 Author Orcid Image ;   Hamid Alinejad-Rokny4, 5, 6 Author Orcid Image ;   Greg J Fox8 Author Orcid Image ;   Siaw-Teng Liaw9 Author Orcid Image ;   Branko G Celler10 Author Orcid Image ;   Guy B Marks1, 2, 11 Author Orcid Image
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