Accuracy of CAD4TB (Computer-Aided Detection for Tuberculosis) on paediatric chest radiographs
Although CAD4TBv7 demonstrated high specificity, its suboptimal sensitivity underscores the crucial need for optimisation of CAD4TBv7 for detecting TB in children.
Authors
- Sheila Agyeiwaa Owusu (ORCID: https://orcid.org/0000-0002-5172-2842)
- Esin Nkereuwem
- Uzochukwu Egere (ORCID: https://orcid.org/0000-0002-0282-6004)
- Schadrac C. Agbla (ORCID: https://orcid.org/0000-0002-0648-3336)
- Victory Fabian Edem (ORCID: https://orcid.org/0000-0003-4234-7312)
- Musa Jallow
- Beate Kampmann (ORCID: https://orcid.org/0000-0002-6546-4709)
- Abdou K. Sillah (ORCID: https://orcid.org/0000-0001-8332-2475)
- Binta Saidy (ORCID: https://orcid.org/0000-0002-1592-2716)
- Toyin Togun (ORCID: https://orcid.org/0000-0002-8477-4462)
- Audrey Forson (ORCID: https://orcid.org/0000-0003-1802-9242)
Institutions
- University of Ghana (GH)
- University of Liverpool (GB)
- University of Ibadan (NG)
- Liverpool School of Tropical Medicine (GB)
- Korle Bu Teaching Hospital (GH)
- London School of Hygiene & Tropical Medicine (GB)
- MRC Unit the Gambia (GM)
- Zero to Three (US)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Ministry of Health and Social Welfare (GM)
- Charité - Universitätsmedizin Berlin (DE)
- University for Development Studies (GH)
Publication Details
- Journal
- European Respiratory Journal
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1183/13993003.00811-2024
- Citations
- 14
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 5.66
Funders
- London School of Hygiene and Tropical Medicine
- Medical Research Charities Group
- Medical Research Council
- European and Developing Countries Clinical Trials Partnership