Latest AI and machine learning research in pulmonology for healthcare professionals.
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approac...
In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture ...
BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibril...
BACKGROUND: Lung cancer poses a significant global health challenge. Adaptive radiotherapy (ART) add...
The rising incidences of myocardial infarction (MI), often affecting individuals without traditional...
The existing clinical diagnostic methods of pulmonary tuberculosis (TB) usually have some of the fol...
BACKGROUND: The aim of this study was to explore the microbial variations and biomarkers in the oral...
To ensure operational efficiency, promote sustainable wastewater treatment practices, and maintain c...
Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many sympto...
BACKGROUND:  Lung cancer is the most prevalent and lethal cancer globally, necessitating accurate di...
INTRODUCTION: Major depressive disorder (MDD) is a common, relapse-prone psychiatric disorder with u...
BACKGROUND: Tuberculosis is an infectious disease that has become endemic worldwide. The causative b...
Artificial intelligence (AI) and microbiome have emerged in recent years as transformative fields wi...
RATIONALE AND OBJECTIVES: Hyperpolarized Xe MRI quantifies ventilation-defect-percent (VDP), the rat...
BACKGROUND: Radiation-induced pneumonitis affects up to 33% of non-small cell lung cancer (NSCLC) pa...
In this narrative review, we address the ongoing challenges of lung cancer (LC) screening using ches...
ST elevation myocardial infarction (STEMI), a subtype of acute coronary syndrome, is one of the lead...
The integration of robotic systems in image-guided trans-arterial interventions has revolutionized t...
Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due ...
BACKGROUND: The global outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damag...
OBJECTIVES: This study aims to identify repeated previous shortcomings in medical imaging data colle...