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

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

Among these, the most frequently used data sources were Shenzhen (SZ; n=51, 36.2%), Montgomery County (MC; n=46, 32.6%), Kaggle TB CXR (n=6, 4.3%), and TBX11 K (n=5, 3.5%), all of which provided radiographic data. MC and SZ were the predominant data sources, both publicly available CXR datasets from the US National Library of Medicine. MC contains 138 images, while SZ offers 662 images [28]. The Kaggle TB CXR dataset contains 7000 images, although only 4200 (60%) are publicly accessible [29].

Seng Hansun, Ahmadreza Argha, Ivan Bakhshayeshi, Arya Wicaksana, Hamid Alinejad-Rokny, Greg J Fox, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

J Med Internet Res 2025;27:e69068