“Similar performances but markedly different triaging thresholds in three CAD4TB versions risk systematic errors in TB screening programs”
🔗2022
🔗Journal/Publication: medRxiv
🔗Read it in full version: https://doi.org/10.1101/2022.04.29.22274472
Tuberculosis (TB) screening programs may apply […]
Diagnostic accuracy of chest X-ray interpretation for tuberculosis by three artificial intelligence-based software in a screening use-case: an individual patient meta-analysis of global data
🔗2022
🔗Journal/Publication: MedRxiv
🔗Read it in full version: https://doi.org/10.1101/2022.01.24.22269730
Background
Chest […]
Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis
🔗2021
🔗Journal/Publication: Nature Scientific Reports
🔗Read it in full version: https://doi.org/10.1038/s41598-021-03265-0
There have been few independent evaluations of computer-aided detection (CAD) software […]
Costs and cost-effectiveness of a comprehensive tuberculosis case finding strategy in Zambia
🔗2021
🔗Journal/Publication: PLOS one
🔗Read it in full version: https://doi.org/10.1371/journal.pone.0256531
Introduction
Active-case finding (ACF) programs have an important role in addressing case detection […]
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms
🔗2021
🔗Journal/Publication: The Lancet Digital Health
🔗Read it in full version: https://doi.org/10.1016/S2589-7500(21)00116-3
Background
Artificial intelligence (AI) […]
Chest X-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: an individual patient data meta-analysis of diagnostic accuracy
🔗2021
🔗Journal/Publication: Clinical Infectious Diseases
🔗Read it in full version: https://doi.org/10.1093/cid/ciab639
Background
Automated […]
Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest X-rays? An evaluation of five AI products for TB screening and triaging in a high TB burden setting
🔗2021
🔗Journal/Publication: Chronic Diseases and […]
Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening
🔗2021
🔗Journal/Publication: Chronic Diseases and Translational Medicine
🔗Read it in full version: https://doi.org/10.1016/j.cdtm.2021.02.001
Currently, the diagnosis of tuberculosis (TB) is mainly […]
A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers
🔗2021
🔗Journal/Publication: Tuberculosis
🔗Read it in full version: https://doi.org/10.1016/j.tube.2020.102049
Recently, the number of artificial intelligence powered computer-aided […]
Chest X-ray Analysis with Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: a Prospective Study of Diagnostic Accuracy for Culture-Confirmed Disease
🔗2020
🔗Journal/Publication: The Lancet Digital Health
🔗Read it in full version: https://doi.org/10.1016/S2589-7500(20)30221-1 […]
