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Indonesia is the focus of this cross-sectional retrospective study evaluating the diagnostic performance of an AI tool (CAD4TB) for tuberculosis screening. The dataset includes analysis of 3,254 chest X-ray images from patients (2018–2020), including 600 with microbiological confirmation. The study, authored by Reyhan Eddy Yunus and last updated in 2026, compares CAD4TB's area under the curve and specificity to the expert-assessed Timika score.
The primary data file is a DOCX document (904.6 KB), which likely contains a summary table and analysis rather than raw image or patient data.