Pulmonology

Deep learning-based segmentation of enamel, cementum, alveolar bone, and gingiva in periodontal ultrasound images.

OBJECTIVES: To develop a deep learning-based multi-class segmentation model for the simultaneous seg...

AttnEffNet-B4: an attention-augmented EfficientNet-B4 framework with fourier transformation for robust multi-disease diagnosis.

Early and precise disease detection in healthcare plays a vital role for better treatment results, h...

A noninvasive urinary microRNA-based assay for early detection of lung cancer and its potential application to prognosis and recurrence monitoring: a case-control study.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with recurrence or canc...

Beyond chemotherapy: The rise of nucleic acid nanoformulations in personalized lung cancer therapy.

Lung cancer remains the leading cause of cancer-related mortality worldwide, driven by complex cross...

Investigation of the use of urinary proteomics in the prediction of childhood asthma.

PURPOSE: Urinary proteomics may help us improve our understanding and classification of asthma. We s...

Molecular modelling-driven formulation design for targeted pulmonary drug delivery.

Molecular modelling an impactful and trending approach for rational design of pulmonary drug deliver...

Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.

OBJECTIVE: This study evaluates the performance of an artificial intelligence predictive clinical de...

Non-invasive assessment of left atrial pressure in patients with heart failure: head to head comparison of novel machine-learning based echocardiographic tool with a wireless pulmonary artery sensor.

Macrophage polarization as a therapeutic target in lung diseases: From pathogenesis to precision intervention.

Macrophages serve as core effector cells of the innate immune system, exerting dual regulatory roles...

Construction of Rheumatoid Arthritis-Associated Interstitial Lung Disease diagnostic model and identification of biomarkers based on a multi-omics integration strategy of machine learning.

OBJECTIVE: This study aimed to develop and validate a machine learning model integrating multi-omics...

Metabolomic Atlas of Cardiovascular Diseases: Mapping Shared and Specific Signatures.

BACKGROUND: Cardiovascular disease (CVD) remains the leading global cause of death. While metabolic ...

Exploring the potential targets and mechanisms of malachite green induced lung adenocarcinoma through network toxicology and molecular docking.

Malachite green (MG), a synthetic dye, has turned into a major risk to human health, because of its ...

Automated Classification of Alveolar Bone Defects for Preoperative Augmentation Planning Using Deep Learning.

OBJECTIVES: Determining alveolar bone deficiencies prior to dental implant surgeries is critical for...

Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections.

INTRODUCTION: Teicoplanin is commonly used to treat Gram-positive bacterial infections in the intens...

Clustering by patients-related characteristics identifies specific phenotypes with different prognosis after resection of non-small cell lung cancer: a French nationwide study from the Epithor database.

INTRODUCTION: Lung cancer remains the leading cause of cancer mortality worldwide despite advances i...

Predicting primary resistance to third-generation EGFR-TKIs in lung adenocarcinoma using a multisource cross-modal transformer model.

The aim of this study was to investigate the utility of a multisource cross-modal Transformer (MC-Tr...

A Hybrid Approach for Differentiating Fibrotic Hypersensitivity Pneumonitis and Idiopathic Pulmonary Fibrosis: Deep Feature Extraction and Machine Learning.

In patients over 60 years of age who are male, non-smokers, and in whom no organic antigen is identi...

Chest X-Ray evaluation using GPT for tube thoracostomy or conservative care in non-tension spontaneous pneumothorax.

BACKGROUND/OBJECTIVE: Spontaneous pneumothorax (SP) commonly presents to the emergency department (E...

Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.

BACKGROUND: Lung ultrasound is essential for rapid, radiation-free bedside pneumothorax diagnosis bu...

A leakage-controlled and SHAP driven machine learning framework for paediatric respiratory disease classification using Indian hospital EHR data.

Changes in computed tomography derived muscle and pulmonary tissue in patients hospitalized for COVID-19: a 12-month follow-up study.

BACKGROUND: Prolonged muscle loss and persistent pulmonary radiological manifestations have been obs...