Economic analysis of different throughput scenarios and implementation strategies of computer-aided detection software as a screening and triage test for pulmonary TB
🔗2022
🔗Journal/Publication: PLOS one
🔗Read it in full version: https://doi.org/10.1371/journal.pone.0277393
Background
Artificial Intelligence […]
Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review
🔗2022
🔗Journal/Publication: Journal of Medical Systems
🔗Read it in full version: https://doi.org/10.1007/s10916-022-01870-8
There has been an explosive growth in […]
Computer-Aided Detection of Tuberculosis from Chest Radiographs in TB Prevalence Survey: External Validation and Modelled Impacts of Commercially Available Artificial Intelligence Software
🔗2022
🔗Journal/Publication: SSRN
🔗Read it in full version: http://dx.doi.org/10.2139/ssrn.4258953
Comparing different versions of computer-aided detection products when reading chest X-rays for tuberculosis
🔗2022
🔗Journal/Publication: PLOS Digital Health
🔗Read it in full version: https://doi.org/10.1371/journal.pdig.0000067
Computer-aided detection (CAD) was recently recommended by the WHO for […]
“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 […]
