Computer-aided detection of TB from chest radiographs in a TB prevalence survey: external validation and modelled impacts of commercially available artificial intelligence software

Computer-aided detection (CAD) products use AI to read CXR images and detect TB-associated abnormalities and have been recommended by the World Health Organization (WHO) for interpreting chest X-ray to triage and screen for TB in those aged 15 years and older, as an alternative to hum an readers.

Publication Details

Journal
Human Science Research Council SA
Published
2025-12-03
DOI
https://doi.org/10.14749/30773744
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Computer-aided detection of TB from chest radiographs in a TB prevalence survey: external validation and modelled impacts of commercially available artificial intelligence software

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

Computer-aided detection of TB from chest radiographs in a TB prevalence survey: external validation and modelled impacts of commercially available artificial intelligence software

article en

Abstract

Computer-aided detection (CAD) products use AI to read CXR images and detect TB-associated abnormalities and have been recommended by the World Health Organization (WHO) for interpreting chest X-ray to triage and screen for TB in those aged 15 years and older, as an alternative to hum an readers.

Human Science Research Council SA
Quality Education
Openalex Percentile: Top 34%
COVID-19 diagnosis using AI
DOIOpen Access PDFOpenAlex
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Computer-aided detection of TB from chest radiographs in a TB prevalence survey: external validation and modelled impacts of commercially available artificial intelligence software · Human Science Research Council SA (2025) | TGRS Research Map | TGRS