The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination
The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination
Data
2023
Autores
Geric, C.
Qin, Z. Z.
Denkinger, C. M.
Kik, S. V.
Marais, B.
Anjos, A.
David, P-M.
Khan, F. Ahmad
Trajman, A.
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Tuberculosis and Lung Disease
Resumo
We provide an overview of the latest evidence on
computer-aided detection (CAD) software for auto-
mated interpretation of chest radiographs (CXRs) for
TB detection. CAD is a useful tool that can assist in
rapid and consistent CXR interpretation for TB. CAD
can achieve high sensitivity TB detection among people
seeking care with symptoms of TB and in population-
based screening, has accuracy on-par with human
readers. However, implementation challenges remain.
Due to diagnostic heterogeneity between settings and
sub-populations, users need to select threshold scores
rather than use pre-specified ones, but some sites may
lack the resources and data to do so. Efficient
standardisation is further complicated by frequent
updates and new CAD versions, which also challenges
implementation and comparison. CAD has not been
validated for TB diagnosis in children and its accuracy
for identifying non-TB abnormalities remains to be
evaluated. A number of economic and political issues
also remain to be addressed through regulation for
CAD to avoid furthering health inequities. Although
CAD-based CXR analysis has proven remarkably
accurate for TB detection in adults, the above issues
need to be addressed to ensure that the technology
meets the needs of high-burden settings and vulnerable
sub-populations.
Description
Palavras-chave
computer-aided detection, chest radiology, pulmonary disease, tuberculosis, AI technology.
Citação
Geric C, Qin ZZ, Denkinger CM, Kik SV, Marais B, Anjos A, David PM, Ahmad Khan F, Trajman A. The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination. Int J Tuberc Lung Dis. 2023 May 1;27(5):367-372. doi: 10.5588/ijtld.22.0687.