AIMC Topic: Tuberculosis, Pulmonary

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Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India.

Scientific reports Jan 14, 2020
In general, chest radiographs (CXR) have high sensitivity and moderate specificity for active pulmonary tuberculosis (PTB) screening when interpreted by human readers. However, they are challenging to scale due to hardware costs and the dearth of pro...
Humans Software Retrospective Studies Female Reproducibility of Results ROC Curve India Tertiary Care Centers Tuberculosis, Pulmonary Mycobacterium tuberculosis Radiography, Thoracic Male Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Deep Learning
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Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.

Scientific reports Oct 18, 2019
Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted...
Nepal Area Under Curve Tuberculosis, Pulmonary Mycobacterium tuberculosis Data Accuracy Radiography, Thoracic Female Adult Sensitivity and Specificity Male Middle Aged Deep Learning Cameroon DNA, Bacterial Mass Screening Nucleic Acid Amplification Techniques Triage Humans Retrospective Studies
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Female Reproducibility of Results Aged Young Adult Adult Pulmonary Disease, Chronic Obstructive Humans Algorithms Prospective Studies Retrospective Studies Imaging, Three-Dimensional Image Processing, Computer-Assisted Inflammation Magnetic Resonance Imaging Solitary Pulmonary Nodule Tuberculosis, Pulmonary Asthma Male Middle Aged Lung Deep Learning Fourier Analysis Healthy Volunteers Protons Smoking Xenon Isotopes Respiration Signal-To-Noise Ratio Bronchiectasis
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An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.

Computer methods and programs in biomedicine Jun 6, 2019
BACKGROUND AND OBJECTIVE: Chest X-ray (CXR) is one of the most used imaging techniques for detection and diagnosis of pulmonary diseases. A critical component in any computer-aided system, for either detection or diagnosis in digital CXR, is the auto...
Radiography, Thoracic Humans Neural Networks, Computer Algorithms Databases, Factual Reproducibility of Results Sensitivity and Specificity Lung Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Tuberculosis, Pulmonary Pattern Recognition, Automated
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An effective and accurate identification system of Mycobacterium tuberculosis using convolution neural networks.

Microscopy research and technique Feb 11, 2019
Tuberculosis (TB) remains the leading cause of morbidity and mortality from infectious disease in developing countries. The sputum smear microscopy remains the primary diagnostic laboratory test. However, microscopic examination is always time-consum...
Image Processing, Computer-Assisted Sputum Microscopy Tuberculosis, Pulmonary Humans Mycobacterium tuberculosis Neural Networks, Computer
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How far have we come? Artificial intelligence for chest radiograph interpretation.

Clinical radiology Jan 28, 2019
Due to recent advances in artificial intelligence, there is renewed interest in automating interpretation of imaging tests. Chest radiographs are particularly interesting due to many factors: relatively inexpensive equipment, importance to public hea...
Radiography, Thoracic Machine Learning Algorithms Forecasting Humans Diagnosis, Computer-Assisted Artificial Intelligence Lung Diseases Tuberculosis, Pulmonary
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Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data.

International journal of environmental research and public health Jan 16, 2019
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health examination data and compare the performances of convolutional neural networks (CNNs) based on images only (I-CNN) and CNNs including demographic vari...
Occupational Health Demography Physical Examination Humans Female Adult Sensitivity and Specificity Male Middle Aged Deep Learning ROC Curve Radiography Tuberculosis, Pulmonary
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Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.

Tuberculosis (Edinburgh, Scotland) May 19, 2018
Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healthcare epidemiological settings, as other factors. Cost-effective screening has substantial importance for TB control, demanding new diagnostic tools. ...
Male Middle Aged Risk Assessment Brazil Lung Prevalence Diagnosis, Computer-Assisted Decision Support Systems, Clinical Mass Screening Predictive Value of Tests Sputum Female Reproducibility of Results Risk Factors Young Adult Adult Humans Tuberculosis, Pulmonary Neural Networks, Computer Mycobacterium tuberculosis Decision Support Techniques Bacteriological Techniques Databases, Factual
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Tuberculosis diagnosis support analysis for precarious health information systems.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
Humans Neural Networks, Computer Female Young Adult Health Information Systems Diagnosis, Computer-Assisted Acquired Immunodeficiency Syndrome Tuberculosis, Pulmonary Colombia Ill-Housed Persons Diabetes Complications Adult Sensitivity and Specificity Male Middle Aged Public Health
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Evaluation of a Urine-Based Rapid Molecular Diagnostic Test with Potential to Be Used at Point-of-Care for Pulmonary Tuberculosis: Cape Town Cohort.

The Journal of molecular diagnostics : JMD Dec 18, 2017
Tuberculosis (TB) diagnosis among sputum-scarce patients is time consuming. Thus, a nonsputum diagnostic alternative is urgently needed. The Mycobacterium tuberculosis-specific transrenal (Tr) DNA from urine is a potential target for TB diagnostics. ...
Multivariate Analysis Male Aged, 80 and over Microscopy Point-of-Care Systems Tuberculosis, Pulmonary Molecular Diagnostic Techniques Young Adult Mycobacterium tuberculosis Middle Aged DNA, Bacterial Adult Humans Diagnostic Tests, Routine HIV Infections Logistic Models Sensitivity and Specificity Biomarkers Polymerase Chain Reaction Cohort Studies Universities Cross-Sectional Studies Female Sputum Risk Factors South Africa Aged
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