Latest AI and machine learning research in pulmonology for healthcare professionals.
Deep learning (DL) methods have demonstrated remarkable effectiveness in assisting with lung cancer ...
BACKGROUND: Primary graft dysfunction (PGD) develops within 72 h after lung transplantation (Lung Tx...
OBJECTIVES: To evaluate the image quality and lung nodule detectability of ultralow-dose CT (ULDCT) ...
Protein succinylation, a post-translational modification wherein a succinyl group (-CO-CH₂-CH₂-CO-) ...
The aim of this study was to develop and validate a machine learning-based mortality risk prediction...
COVID-19, caused by the SARS-CoV-2 coronavirus, has spread to more than 200 countries, affecting mil...
Non-small cell lung adenocarcinoma (LUAD) is a markedly heterogeneous disease, with its underlying m...
Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research...
Pneumoconiosis is a widespread occupational pulmonary disease caused by inhalation and retention of ...
BackgroundIschemic stroke is a critical neurological condition, with infection representing a signif...
OBJECTIVE: To determine the predictive potential of the open reading frame 5 nucleotide sequence of ...
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify ind...
Mannheimia haemolytica is one of the most common causative agents of bovine respiratory disease (BRD...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. ...
BACKGROUND:: Tuberculosis disease is the disease that causes significant morbidity and mortality wor...
INTRODUCTION: Numerous studies have characterised trajectories of asthma and allergy in children usi...
Accurate assessment of spinal cord vasculature is important for the urgent diagnosis of injury and s...
OBJECTIVES: The pairing of immunotherapy and radiotherapy in the treatment of locally advanced nonsm...
BACKGROUND: Diabetes and chronic obstructive pulmonary disease (COPD) are prominent global health ch...
BACKGROUND: Lung adenocarcinoma (LUAD) is a highly aggressive tumor with one of the highest morbidit...
PURPOSE: Lung fissure segmentation on CT images often relies on 3D convolutional neural networks (CN...