Pulmonology

Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties.

Prediction of severe disease (SVD) in patients with coronavirus disease (COVID-19) pneumonia at an e...

Managing chronic disease in the digital era: The role of telemedicine apps and platforms.

Chronic diseases such as diabetes, heart disease, or asthma are one of the biggest health challenges...

Intermittent hypoxemia during hemodialysis: AI-based identification of arterial oxygen saturation saw-tooth pattern.

BACKGROUND: Maintenance hemodialysis patients experience high morbidity and mortality, primarily fro...

F-FDG PET/CT-based deep learning models and a clinical-metabolic nomogram for predicting high-grade patterns in lung adenocarcinoma.

BACKGROUND: To develop and validate deep learning (DL) and traditional clinical-metabolic (CM) model...

Altered static and dynamic functional network connectivity and combined Machine learning in asthma.

Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. ...

OPTUNA optimization for predicting chemical respiratory toxicity using ML models.

Predicting molecular toxicity is an important stage in the process of drug discovery. It is directly...

An explainable artificial intelligence framework for weaning outcomes prediction using features from electrical impedance tomography.

BACKGROUND: Prolonged mechanical ventilation (PMV) might cause ventilator-associated pneumonia and d...

Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction.

INTRODUCTION: Public health data analysis is critical to understanding disease trends. Existing anal...

Enhancing tree-based machine learning for chlorophyll-a prediction in coastal seawater through spatiotemporal feature integration.

The excessive growth of phytoplankton in water can deplete oxygen, release toxins, harm aquatic life...

TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing comp...

Effect of pregnancy and infancy exposure to outdoor particulate matter (PM, PM, PM) and SO on childhood pneumonia in preschool children in Taiyuan City, China.

There is currently a paucity of research on the effects of early life exposure to particulate matter...

Exploring hypoxia driven subtypes of pulmonary arterial hypertension through transcriptomics single cell sequencing and machine learning.

Pulmonary arterial hypertension (PAH) is a progressive cardiovascular disease characterized by eleva...

Identification and verification of mitochondria-related genes biomarkers associated with immune infiltration for COPD using WGCNA and machine learning algorithms.

Mitochondrial dysfunction plays a pivotal role in the pathogenesis of chronic obstructive pulmonary ...

Beyond immunosuppression: decoding systemic immune dysregulation in ICU-acquired pneumonia.

Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease with a fatal outcome...

Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing de...

The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm.

BACKGROUND: Palliative care is a key component of integrated care to improve care quality and reduce...

An integrated machine learning model of transcriptomic genes in multi-center chronic obstructive pulmonary disease reveals the causal role of TIMP4 in airway epithelial cell.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a heterogeneous syndrome, resulting in i...

Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care.

Primary care consultations provide an opportunity for patients and clinicians to assess asthma attac...

Bridging surgical oncology and personalized medicine: the role of artificial intelligence and machine learning in thoracic surgery.

Lung cancer remains the leading cause of cancer-related deaths globally, often detected in advanced ...

[Acute respiratory distress syndrome-quo vadis : Innovative and individualized treatment approaches].

Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome characterized by var...