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Determines computer-aided detection thresholds in tuberculosis diagnostic algorithms, suggesting improved screening accuracy.
Use of computer-aided detection (CAD) software is recommended to improve tuberculosis screening and triage, but threshold determination is challenging if reference testing has not been performed in all individuals. We aimed to determine such thresholds through secondary analysis of the 2019 Lesotho national tuberculosis prevalence survey.
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Human Sciences Research Council (2026) studied this question.
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