Computer-aided detection thresholds for digital chest x-ray interpretation in tuberculosis diagnostic algorithms

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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Publication Details

Journal
Human Science Research Council SA
Published
2026-05-22
DOI
https://doi.org/10.14749/32362248
Primary Topic
COVID-19 diagnosis using AI
Type
article
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article

Computer-aided detection thresholds for digital chest x-ray interpretation in tuberculosis diagnostic algorithms

Human Sciences Research Council
Human Science Research Council SA
COVID-19 diagnosis using AI
article

Computer-aided detection thresholds for digital chest x-ray interpretation in tuberculosis diagnostic algorithms

Human Sciences Research Council
article en

Abstract

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.

Human Science Research Council SA
Good health and well-being
Openalex Percentile: Top 5%
COVID-19 diagnosis using AI
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