Performance of computer-assisted detection software in pulmonary tuberculosis screening.
DOI:
https://doi.org/10.52692/1857-0011.2025.3-83.25Keywords:
Digital imaging and communications in medicine, computer-aided detection software, pulmonary tuberculosis, screeningAbstract
Chest X-ray examination (CXR) play an important role in the detection of pulmonary tuberculosis (TB). However, due to a shortage of radiologists and considerable inter-reader variability among human CXR interpreters, this use of radiography is limited and its performance is variable, particularly in countries with a high burden of tuberculosis. A computer-aided detection (CAD) system can overcome some of these constraints, as CAD generates a standardized interpretation of a digital CXR image that can be used to identify individuals who may benefit from further diagnostic testing. The World Health Organization (WHO) in its 2021 tuberculosis screening guidelines recommended new CAD software systems, but an increase in the number of new and updated versions of CAD products has necessitated an update of these guidelines. The Foundation for Innovative New Diagnostics (FIND) has established an independent CXR image archive and validation platform to evaluate various CAD products on the diagnostic accuracy of CAD software systems, using the FIND CXR image archive.
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