Diagnostic Accuracy of Chest X-ray Computer-Aided Detection Software for Detection of Prevalent and Incident Tuberculosis in Household Contacts

Our findings suggest that the potential of CAD-CXR screening for TB is not maximized as a high proportion of those above current thresholds, but with a negative routine confirmatory sputum, have true TB disease that may benefit intervention.

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Publication Details

Journal
Clinical Infectious Diseases
Published
2024-12-18
DOI
https://doi.org/10.1093/cid/ciae528
Citations
5
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
2.02

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article

Diagnostic Accuracy of Chest X-ray Computer-Aided Detection Software for Detection of Prevalent and Incident Tuberculosis in Household Contacts

Richard Court, Stephanus T. Malherbe, Karen R. Jacobson, Laura E. Via et al.
5 citations
Clinical Infectious Diseases
COVID-19 diagnosis using AI
2.02
article

Diagnostic Accuracy of Chest X-ray Computer-Aided Detection Software for Detection of Prevalent and Incident Tuberculosis in Household Contacts

Richard Court, Stephanus T. Malherbe, Karen R. Jacobson, Laura E. Via, Matteo Quartagno, Clifton E. Barry, Liana Macpherson, Robin M. Warren, Shireen Galant, Hanif Esmail, Gerhard Walzl, Taeksun Song, Padmini Salgame, Robert John Wilkinson, Friedrich Thienemann, Bianca Sossen, Remy Daroowala, Rene T. Goliath, Dylan Sheerin, James Warwick, Torben Heinsohn, Anna K. Coussens, Morten Rühwald, Elizabeth M. Streicher, Saalikha Aziz, Marche Jaftha, Amanda Jackson, Sandra V. Kik, Emily Douglass, JoAnne L. Flynn, Jerrold J. Ellner, C. Robert Horsburgh, Francisco Lakay, Sandra Mukasa, Keboile Serole, Arshad Taliep, Nombuso Yende, Nashreen Omar Davies, Mpho Tlala
article en
5 citations

Abstract

Our findings suggest that the potential of CAD-CXR screening for TB is not maximized as a high proportion of those above current thresholds, but with a negative routine confirmatory sputum, have true TB disease that may benefit intervention.

Clinical Infectious DiseasesVol. 80(3)
Rutgers, The State University of New Jersey (US), FIND (CH), University of Cape Town (ZA), Walter and Eliza Hall Institute of Medical Research (AU), University of Zurich (CH), The Francis Crick Institute (GB), MRC Clinical Trials Unit at UCL (GB), University Hospital of Zurich (CH), Wellcome Centre for Infectious Diseases Research in Africa (ZA), Rutgers New Jersey Medical School (US), University College London (GB), Imperial College London (GB)
Medical Research Council
Good health and well-being
Openalex Percentile: Top 12%
COVID-19 diagnosis using AI
2.02
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