Detection of other pathologies when utilising computer-assisted digital solutions for TB screening
This study showed that the three CAD tools identified CXRs as abnormal when diseases other than TB were present. Our findings alleviate ethical concerns of missing abnormalities other than TB when using commercially available CAD for TB screening and show their potential broader applicability.
Authors
- Claudia Maria Denkinger (ORCID: https://orcid.org/0000-0002-7216-7067)
- Felix Herth (ORCID: https://orcid.org/0000-0002-7638-2506)
- Athanasios Giannakis
- J. Sebastián (ORCID: https://orcid.org/0000-0002-9717-866X)
- Tim Frederik Weber (ORCID: https://orcid.org/0000-0001-5911-123X)
- Ioana D. Olaru (ORCID: https://orcid.org/0000-0003-3392-9257)
- Gunar Günther (ORCID: https://orcid.org/0000-0002-2217-4322)
- Morten Rühwald (ORCID: https://orcid.org/0000-0002-1597-441X)
- Sandra V. Kik (ORCID: https://orcid.org/0000-0002-0662-4899)
- Sarah Linsen
- Matthew Arentz
- Patrick Wolf (ORCID: https://orcid.org/0000-0003-2740-7655)
Institutions
- FIND (CH)
- National and Kapodistrian University of Athens (GR)
- University of Namibia (NA)
- Heidelberg University (DE)
- University of Münster (DE)
- University Hospital of Bern (CH)
- University Hospital Heidelberg (DE)
- London School of Hygiene & Tropical Medicine (GB)
- German Center for Infection Research (DE)
- Frauenklinik Heidelberg (DE)
- University General Hospital Attikon (GR)
Publication Details
- Journal
- IJTLD OPEN
- Published
- 2024-12-01
- DOI
- https://doi.org/10.5588/ijtldopen.24.0428
- Citations
- 1
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- Bundesministerium für Bildung und Forschung