Pulmonology

Mitral annular plane systolic excursion to left atrial volume ratio - a strainless relation with left ventricular filling pressures.

Left atrial reservoir strain (LASr) offers diagnostic and prognostic value in patients with heart fa...

Effect of liver biopsy size on MASLD fibrosis assessment by second-harmonic generation/two-photon excitation fluorescence microscopy.

BACKGROUND & AIMS: Fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD) is a...

Simultaneous initiation of dolutegravir-based antiretroviral therapy and once-weekly rifapentine and isoniazid for tuberculosis prevention in antiretroviral-naive people with HIV: an open-label, non-randomised, phase 1/2 trial.

BACKGROUND: Tuberculosis preventive treatment with 3 months of once-weekly isoniazid (900 mg) and ri...

Respiratory Exposure to Agriculture Dust Extract Alters Gut Commensal Species and Key Metabolites in Mice.

Exposure to agricultural dust containing antimicrobial-resistant pathogens poses significant health ...

Evaluation of alveolar bone preservation and oxidative stress reduction with açai in Wistar rats with induced apical periodontitis.

AIM: This study aimed to investigate the effects of açai on bone and systemic damage caused by apica...

Physiological comparison of noninvasive ventilation and high-flow nasal oxygen on inspiratory efforts and tidal volumes after extubation: a randomized crossover trial.

BACKGROUND: Extubation failure leading to reintubation is associated with high mortality. In patient...

Step up to triple therapy versus switch to dual bronchodilator therapy in patients with COPD on an inhaled corticosteroid/long-acting β-agonist: post-hoc analyses of KRONOS.

BACKGROUND: In people with chronic obstructive pulmonary disease (COPD) on inhaled corticosteroid/lo...

Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications.

IntroductionMesothelioma is a type of lung cancer caused by asbestos exposure, and early diagnosis i...

Mechanisms involved in pro-inflammatory responses to traffic-derived particulate matter (PM) in THP-1 macrophages compared to HBEC3-KT bronchial epithelial cells.

The pro-inflammatory responses in THP-1-derived macrophages and human bronchial epithelial cells (HB...

Artificial Intelligence-augmented public health interventions in India.

The adoption and scaling of technology in public health settings in the Global South have traditiona...

Optimizing Strategy for Lung Cancer Screening: From Risk Prediction to Clinical Decision Support.

PURPOSE: Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortalit...

Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasoun...

Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit.

BACKGROUND: The incidence of ventilator-associated pneumonia (VAP) in ischemic stroke (IS) patients ...

Machine learning models for predicting survival in lung cancer patients undergoing microwave ablation.

OBJECTIVE: To develop and validate predictive models assessing survival outcomes in patients with no...

Correction to "The Melamine-Driven Solvation Effect Promotes Oxygen Reduction on Platinum Catalyst: Machine Learning-Aided Free Energy Calculations".

Serum Vitamin D and the Risk of SARS-CoV-2 and Seasonal Influenza Infection During the Twindemic Period.

BACKGROUND & AIMS: The association between circulating vitamin D levels and the risk of severe acute...

The Role of Computed Tomography and Artificial Intelligence in Evaluating the Comorbidities of Chronic Obstructive Pulmonary Disease: A One-Stop CT Scanning for Lung Cancer Screening.

Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. ...

Prediction of EGFR Mutations in Lung Adenocarcinoma via CT Images: A Comparative Study of Intratumoral and Peritumoral Radiomics, Deep Learning, and Fusion Models.

RATIONALE AND OBJECTIVES: This study aims to analyze the intratumoral and peritumoral characteristic...

Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detecti...

An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

The forecasting of a patient's response to radiotherapy and the likelihood of experiencing harmful l...

Machine-Learning-Driven Exploration of Surface Reconstructions of Reduced Rutile TiO.

Titanium dioxide (TiO) is widely used as a catalyst support due to its stability, tunable electronic...