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Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 3907-3927 of 6,660 articles

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography.

BACKGROUND: Automatically detecting and quantifying pneumothorax on chest computed tomography (CT) m...

Apr 2020 PMID: 32303861

Machine learning identifies 10 feature miRNAs for lung squamous cell carcinoma.

Lung squamous cell carcinoma (LUSC) is a common type of malignancy. The mechanism behind its tumor p...

Apr 2020 PMID: 32298761

Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severit...

Apr 2020 PMID: 32531442

Scoring pleurisy in slaughtered pigs using convolutional neural networks.

Diseases of the respiratory system are known to negatively impact the profitability of the pig indus...

Apr 2020 PMID: 32276670

Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined ...

Apr 2020 PMID: 32270315

Deep Learning to Unveil Correlations between Urban Landscape and Population Health.

The global healthcare landscape is continuously changing throughout the world as technology advances...

Apr 2020 PMID: 32276488

Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care.

BACKGROUND: Interstitial lung disease requires frequent re-examination, which directly causes excess...

Apr 2020 PMID: 32251997

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.

In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Co...

Apr 2020 PMID: 32524445

Comparison of Xpert MTB/RIF (G4) and Xpert Ultra, including trace readouts, for the diagnosis of pulmonary tuberculosis in a TB and HIV endemic setting.

BACKGROUND: There are limited data about Xpert-Ultra performance in different settings, in HIV-infec...

Apr 2020 PMID: 32247825

Automatic mandibular canal detection using a deep convolutional neural network.

The practicability of deep learning techniques has been demonstrated by their successful implementat...

Mar 2020 PMID: 32235882

Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major public health problem and cause ...

Mar 2020 PMID: 32234053

Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation.

PURPOSE: To study the extent of pulmonary involvement in coronavirus 19 (COVID-19) with quantitative...

Mar 2020 PMID: 33778565

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.

The classification process of lung nodule detection in a traditional computer-aided detection (CAD) ...

Mar 2020 PMID: 32318102

Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

OBJECTIVES: We develop and validate a radiomics model based on multiparametric magnetic resonance im...

Mar 2020 PMID: 32222795

Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.

Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest...

Mar 2020 PMID: 32218465

Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell ...

Mar 2020 PMID: 32198149

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world since the beginn...

Mar 2020 PMID: 32191588

Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China.

BACKGROUND: IBM Watson for Oncology (WFO) provides physicians with evidence-based treatment options....

Mar 2020 PMID: 32191394

Browse Categories

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography.

Machine learning identifies 10 feature miRNAs for lung squamous cell carcinoma.

Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Scoring pleurisy in slaughtered pigs using convolutional neural networks.

Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

Deep Learning to Unveil Correlations between Urban Landscape and Population Health.

Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care.

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.

Comparison of Xpert MTB/RIF (G4) and Xpert Ultra, including trace readouts, for the diagnosis of pulmonary tuberculosis in a TB and HIV endemic setting.

Automatic mandibular canal detection using a deep convolutional neural network.

Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population.

Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation.

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.

Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.

Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China.

Deep learning approaches for sleep disorder prediction in an asthma cohort.

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning.

Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.

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