Computer-aided detection thresholds for digital chest x-ray interpretation in tuberculosis diagnostic algorithms
Human Sciences Research Council
Human Science Research Council SA · 2026-05
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.
MeSH terms
- Tuberculosis
- Medicine
- Software
- Interpretation (philosophy)
- Algorithm
- Artificial intelligence
- Diagnostic accuracy
- Tuberculosis diagnosis
- Computer science
- Radiology