Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in …

AM Biewer, C Tzelios, K Tintaya, B Roman… - PLOS Global Public …, 2024 - journals.plos.org
Tuberculosis (TB) transmission in healthcare facilities is common in high-incidence
countries. Yet, the optimal approach for identifying inpatients who may have TB is unclear …

Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with …

J Creswell, LNQ Vo, ZZ Qin, M Muyoyeta… - BMC Global and Public …, 2023 - Springer
Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's
deadliest diseases. Most deaths are among persons with TB who are not reached with …

The performance of computer-aided detection digital chest X-ray reading technologies for triage of active tuberculosis among persons with a history of previous …

M Kagujje, AD Kerkhoff, M Nteeni, I Dunn… - Clinical Infectious …, 2023 - academic.oup.com
Background Digital chest X-ray (dCXR) computer-aided detection (CAD) technology uses
lung shape and texture analysis to determine the probability of tuberculosis (TB). However …

[HTML][HTML] Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms

ZZ Qin, S Ahmed, MS Sarker, K Paul… - The Lancet Digital …, 2021 - thelancet.com
Background Artificial intelligence (AI) algorithms can be trained to recognise tuberculosis-
related abnormalities on chest radiographs. Various AI algorithms are available …

[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review

S Hansun, A Argha, ST Liaw, BG Celler… - Journal of medical Internet …, 2023 - jmir.org
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …

[HTML][HTML] Usage of artificial intelligence tools in community-level X-ray triaging for tuberculosis in Chennai, Tamil Nadu

J Prabakaran, S Sangeetha, KK Desamani… - Current Medicine …, 2023 - journals.lww.com
Background: The end tuberculosis (TB) strategy emphasises early and correct diagnosis of
TB. Chest X-ray (CXR) is an essential tool for triaging and screening TB and confirming the …

Computer-Aided Detection for Chest Radiography to Improve the Quality of Tuberculosis Diagnosis in Vietnam's District Health Facilities: An Implementation Study

AL Innes, A Martinez, X Gao, N Dinh, GL Hoang… - Tropical Medicine and …, 2023 - mdpi.com
In Vietnam, chest radiography (CXR) is used to refer people for GeneXpert (Xpert) testing to
diagnose tuberculosis (TB), demonstrating high yield for TB but a wide range of CXR …

Accuracy of computer-aided chest X-ray in community-based tuberculosis screening: Lessons from the 2016 Kenya National Tuberculosis Prevalence Survey

B Mungai, J Ong 'angò, CC Ku… - PLOS global public …, 2022 - journals.plos.org
Community-based screening for tuberculosis (TB) could improve detection but is resource
intensive. We set out to evaluate the accuracy of computer-aided TB screening using digital …

Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening

XF Cao, Y Li, HN Xin, HR Zhang, M Pai… - Chronic Diseases and …, 2021 - mednexus.org
Currently, the diagnosis of tuberculosis (TB) is mainly based on the comprehensive
consideration of the patient's symptoms and signs, laboratory examinations and chest …

A systematic review of deep learning techniques for tuberculosis detection from chest radiograph

M Oloko-Oba, S Viriri - Frontiers in medicine, 2022 - frontiersin.org
The high mortality rate in Tuberculosis (TB) burden regions has increased significantly in the
last decades. Despite the possibility of treatment for TB, high burden regions still suffer …