AIMC Topic: Tuberculosis

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Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists Now.

Radiology Sep 6, 2022
Humans Radiologists Tuberculosis Tuberculosis, Pulmonary Deep Learning Radiography
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Machine learning in the loop for tuberculosis diagnosis support.

Frontiers in public health Jul 26, 2022
The use of machine learning (ML) for diagnosis support has advanced in the field of health. In the present paper, the results of studying ML techniques in a tuberculosis diagnosis loop in a scenario of limited resources are presented. Data are analyz...
Tuberculosis Logistic Models Support Vector Machine Neural Networks, Computer Machine Learning Humans
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An efficient deep learning-based framework for tuberculosis detection using chest X-ray images.

Tuberculosis (Edinburgh, Scotland) Jul 19, 2022
Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease, decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the top choice for lung disease screening in clinics because it is ...
Mycobacterium tuberculosis X-Rays Pneumonia COVID-19 Tuberculosis Deep Learning Humans Neural Networks, Computer
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Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.

Medical & biological engineering & computing Jul 14, 2022
Deep learning provides the healthcare industry with the ability to analyse data at exceptional speeds without compromising on accuracy. These techniques are applicable to healthcare domain for accurate and timely prediction. Convolutional neural netw...
COVID-19 Pneumonia, Viral Deep Learning Lung Diseases Humans Tuberculosis
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Discriminating TB lung nodules from early lung cancers using deep learning.

BMC medical informatics and decision making Jun 21, 2022
BACKGROUND: In developing countries where both high rates of smoking and endemic tuberculosis (TB) are often present, identification of early lung cancer can be significantly confounded by the presence of nodules such as those due to latent TB (LTB)....
Neural Networks, Computer Lung Humans Tuberculosis Deep Learning Lung Neoplasms
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A three-methylation-driven gene-based deep learning model for tuberculosis diagnosis in patients with and without human immunodeficiency virus co-infection.

Microbiology and immunology May 27, 2022
Improved diagnostic tests for tuberculosis (TB) among people with human immunodeficiency virus (HIV) are urgently required. We hypothesized that methylation-driven genes (MDGs) of host blood could be used to diagnose patients co-infected with HIV/TB....
Deep Learning HIV Infections Tuberculosis HIV Coinfection Humans Methylation
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Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases May 18, 2022
BACKGROUND: Few evaluations of computer-aided detection (CAD) software for analyzing chest radiographs for tuberculosis have used mycobacterial culture as the reference standard.
Prospective Studies Adult Deep Learning Tuberculosis Sensitivity and Specificity Humans Software X-Rays Tuberculosis, Pulmonary Mycobacterium tuberculosis
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Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model.

Journal of healthcare engineering Mar 21, 2022
Computer science plays an important role in modern dynamic health systems. Given the collaborative nature of the diagnostic process, computer technology provides important services to healthcare professionals and organizations, as well as to patients...
Humans Tuberculosis Machine Learning Support Vector Machine
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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China.

PloS one Feb 23, 2022
BACKGROUND AND OBJECTIVE: Tuberculosis (Tuberculosis, TB) is a public health problem in China, which not only endangers the population's health but also affects economic and social development. It requires an accurate prediction analysis to help to m...
China Incidence Tuberculosis Seasons Models, Statistical Prevalence Deep Learning Prognosis Public Health Humans Mycobacterium tuberculosis Forecasting Probability
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First-line drug resistance profiling of : a machine learning approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
The persistence and emergence of new multi-drug resistant Mycobacterium tuberculosis (M. tb) strains continues to advance the devastating tuberculosis (TB) epidemic. Robust systems are needed to accurately and rapidly perform drug-resistance profilin...
Tuberculosis Drug Resistance, Multiple, Bacterial Humans Mycobacterium tuberculosis Antitubercular Agents Machine Learning
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