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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

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

๐Ÿ”—2021

๐Ÿ”—Journal/Publication: Chronic Diseases and [โ€ฆ]

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

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

๐Ÿ”—2021

๐Ÿ”—Journal/Publication: Chronic Diseases and Translational Medicine

๐Ÿ”—Read it in full version:ย https://doi.org/10.1016/j.cdtm.2021.02.001

Abstractย 

Currently, the diagnosis of tuberculosis (TB) is mainly [โ€ฆ]

A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers

A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers

๐Ÿ”—2021

๐Ÿ”—Journal/Publication: Tuberculosis

๐Ÿ”—Read it in full version:ย https://doi.org/10.1016/j.tube.2020.102049

Abstractย 

Recently, the number of artificial intelligence powered computer-aided [โ€ฆ]

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

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

๐Ÿ”—2020

๐Ÿ”—Journal/Publication: The Lancet Digital Health

๐Ÿ”—Read it in full version:ย https://doi.org/10.1016/S2589-7500(20)30221-1 [โ€ฆ]

Can Artificial Intelligence Be Used to Accurately Detect Tuberculosis (TB) from Chest X-ray? A Multi-Platform Evaluation of Five AI Products Used for TB Screening in a High-Burden setting

Can Artificial Intelligence Be Used to Accurately Detect Tuberculosis (TB) from Chest X-ray? A Multi-Platform Evaluation of Five AI Products Used for TB Screening in a High-Burden setting

๐Ÿ”—2020

๐Ÿ”—Journal/Publication: ArXiv

๐Ÿ”—Read it in full version:ย https://doi.org/10.48550/arXiv.2006.05509 [โ€ฆ]

Using Artificial Intelligence to Read Chest Radiographs for Tuberculosis Detection: A Multi-Site Evaluation of the Diagnostic Accuracy of Three Deep Learning Systems

Using Artificial Intelligence to Read Chest Radiographs for Tuberculosis Detection: A Multi-Site Evaluation of the Diagnostic Accuracy of Three Deep Learning Systems

๐Ÿ”—2019

๐Ÿ”—Journal/Publication: Nature Scientific Reports

๐Ÿ”—Read it in full version:ย https://doi.org/10.1038/s41598-019-51503-3

Abstractย 

Deep [โ€ฆ]

A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest X-rays for pulmonary tuberculosis

A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest X-rays for pulmonary tuberculosis

๐Ÿ”—2019

๐Ÿ”—Journal/Publication: PLOS one

๐Ÿ”—Read it in full version:ย https://doi.org/10.1371/journal.pone.0221339

Abstractย 

We undertook a systematic review [โ€ฆ]

Fast and Effective Quantification of Symmetry in Medical Images for Pathology Detection: Application to Chest Radiography

Fast and Effective Quantification of Symmetry in Medical Images for Pathology Detection: Application to Chest Radiography

๐Ÿ”—2017

๐Ÿ”—Journal/Publication: Medical Physics

๐Ÿ”—Read it in full version:ย https://doi.org/10.1002/mp.12127

Computer-Aided Detection of Pulmonary Tuberculosis on Digital Chest Radiographs: a Systematic Review

Computer-Aided Detection of Pulmonary Tuberculosis on Digital Chest Radiographs: a Systematic Review

๐Ÿ”—2016

๐Ÿ”—Journal/Publication: The International Journal of Tuberculosis and Lung Disease

๐Ÿ”—Read it in full version:ย https://doi.org/10.5588/ijtld.15.0926

Abstractย 

OBJECTIVE: To systematically review the diagnostic [โ€ฆ]