Tuberculosis

Tuberculosis

Latest AI and machine learning research in tuberculosis for healthcare professionals.

1,845 articles

Pulmonology Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 211-231 of 1,845 articles

Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.

Background The World Health Organization (WHO) recommends chest radiography to facilitate tuberculos...

Sep 2022 PMID: 36066366

Sweat Proteomics in Cystic Fibrosis: Discovering Companion Biomarkers for Precision Medicine and Therapeutic Development.

In clinical routine, the diagnosis of cystic fibrosis (CF) is still challenging regardless of intern...

Jul 2022 PMID: 35954202

Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow.

In this study, we propose a two-stage workflow used for the segmentation and scoring of lung disease...

Jul 2022 PMID: 35896761

Machine learning in the loop for tuberculosis diagnosis support.

The use of machine learning (ML) for diagnosis support has advanced in the field of health. In the p...

Jul 2022 PMID: 35958865

Simplified Transfer Learning for Chest Radiography Models Using Less Data.

Background Developing deep learning models for radiology requires large data sets and substantial co...

Jul 2022 PMID: 35852426

An efficient deep learning-based framework for tuberculosis detection using chest X-ray images.

Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease, decrea...

Jul 2022 PMID: 35872406

Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.

Deep learning provides the healthcare industry with the ability to analyse data at exceptional speed...

Jul 2022 PMID: 35834050

Discriminating TB lung nodules from early lung cancers using deep learning.

BACKGROUND: In developing countries where both high rates of smoking and endemic tuberculosis (TB) a...

Jun 2022 PMID: 35725445

RA V-Net: deep learning network for automated liver segmentation.

Segmenting liver from CT images is the first step for doctors to diagnose a patient's disease. Proce...

Jun 2022 PMID: 35588720

Novel High-Efficiency Nanocomposite Gate Design of Quantum-Dot Cellular Automata Based on Deep Learning.

With the development of science and technology, the feature size of CMOS devices will always shrink ...

Jun 2022 PMID: 35720878

A three-methylation-driven gene-based deep learning model for tuberculosis diagnosis in patients with and without human immunodeficiency virus co-infection.

Improved diagnostic tests for tuberculosis (TB) among people with human immunodeficiency virus (HIV)...

May 2022 PMID: 35510555

Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis.

BACKGROUND: Few evaluations of computer-aided detection (CAD) software for analyzing chest radiograp...

May 2022 PMID: 35597555

Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.

OBJECTIVE: Based on the respiratory disease big data platform in southern Xinjiang, we established a...

May 2022 PMID: 35602136

Comparison of radiologist versus natural language processing-based image annotations for deep learning system for tuberculosis screening on chest radiographs.

Although natural language processing (NLP) can rapidly extract disease labels from radiology reports...

Apr 2022 PMID: 35483162

Pulmonology

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Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.

Sweat Proteomics in Cystic Fibrosis: Discovering Companion Biomarkers for Precision Medicine and Therapeutic Development.

Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow.

Machine learning in the loop for tuberculosis diagnosis support.

Simplified Transfer Learning for Chest Radiography Models Using Less Data.

An efficient deep learning-based framework for tuberculosis detection using chest X-ray images.

Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.

Discriminating TB lung nodules from early lung cancers using deep learning.

RA V-Net: deep learning network for automated liver segmentation.

Novel High-Efficiency Nanocomposite Gate Design of Quantum-Dot Cellular Automata Based on Deep Learning.

A three-methylation-driven gene-based deep learning model for tuberculosis diagnosis in patients with and without human immunodeficiency virus co-infection.

Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis.

Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.

Comparison of radiologist versus natural language processing-based image annotations for deep learning system for tuberculosis screening on chest radiographs.

Sparse factorization of square matrices with application to neural attention modeling.

Lightweight YOLOv4 with Multiple Receptive Fields for Detection of Pulmonary Tuberculosis.

Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model.

Multitask Deep Learning Reconstruction and Localization of Lesions in Limited Angle Diffuse Optical Tomography.

The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China.

Carbon Dot Blinking Fingerprint Uncovers Native Membrane Receptor Organizations via Deep Learning.

First-line drug resistance profiling of : a machine learning approach.

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