Pulmonology

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

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Deep learning framework for cardiorespiratory disease detection using smartphone IMU sensors.

Respiratory and cardiovascular diseases represent a significant global health burden, underscoring t...

Content-based X-ray image retrieval using fusion of local neighboring patterns and deep features for lung disease detection.

This paper introduces a Content-Based Medical Image Retrieval (CBMIR) system for detecting and retri...

Exploring the impact of neutrophils on lung adenocarcinoma using Mendelian randomization and transcriptomic study.

Tumor immune microenvironment plays a crucial role in determining the prognosis of lung adenocarcino...

Identifying azithromycin responders with an individual treatment effect model in COPD.

OBJECTIVE: Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obst...

Predicting Unplanned Intubations in Rib Fracture Patients: An Interpretable Machine Learning Approach.

BackgroundTraumatic rib fractures can lead to respiratory complications necessitating unplanned intu...

Comprehensive analysis of pyroptosis-related gene signatures in renal fibrosis.

BACKGROUND: Renal fibrosis is key histopathological lesion in chronic kidney disease progression. Th...

Development and validation of a risk prediction model for depression in patients with chronic obstructive pulmonary disease.

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a prevalent respiratory condition often ...

Toward developing a compact total artificial heart using a soft robotic fluidic transmission system.

Cardiovascular diseases are a leading cause of mortality, with limited possibilities for transplanta...

Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.

Community-acquired pneumonia (CAP) is associated with high mortality, and accurate diagnosis and ris...

Reconstruction of Heart-related Imaging from Lung Electrical Impedance Tomography Using Semi-Siamese U-Net.

INTRODUCTION: Electrical Impedance Tomography (EIT) is widely used for bedside ventilation monitorin...

Understanding the causal effects and heterogeneity between metabolic syndrome and lung function: a nationwide prospective cohort study in China.

BACKGROUND: Metabolic syndrome (MetS) has been widely recognized as a risk factor for lung function....

Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.

BACKGROUND: The lack of reliable biomarkers for the early detection and risk stratification of post-...

Machine learning-based integration identifies plasma cells-related gene signature ST6GAL1 in idiopathic pulmonary fibrosis.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a rare, progressive, and fibrotic disease with po...

Enhancing gas concentration prediction and ventilation efficiency in deep coal mines: a hybrid DL-Koopman and Fuzzy-PID framework.

With the increasing depth of coal mining operations, traditional ventilation systems are becoming in...

Clinical value of the 70-kVp ultra-low-dose CT pulmonary angiography with deep learning image reconstruction.

OBJECTIVE: This study aims to assess the feasibility of "double-low," low radiation dosage and low c...

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