Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND/OBJECTIVES: Circadian rhythm disruption is increasingly implicated in tumor progression and therapy resistance. However, its prognostic value and impact on the tumor immune microenvironment in lung adenocarcinoma (LUAD) remain unclear. This study aimed to develop a robust circadian rhythm-based gene signature to improve risk stratification and inform personalized therapeutic strategies ...
PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immunologically heterogeneous disease, classified as Type 2 (Th2/ILC2-mediated, eosinophilic) or Type 1 (Th1-mediated, neutrophilic, steroid-resistant) inflammation. This review aims to evaluates current biologic therapies, emerging strategies, and challen...
BACKGROUND: Sex and age have long been known to affect lung function. Several biological variables and anatomical factors may contribute to sex- and a...
Deep learning and prior-image-guided cross modality motion reconstruction methods have recently en abled faster acquisition time and lower artifacts i...
BACKGROUND: Lung sound analysis may capture chronic obstructive pulmonary disease (COPD) related physiology, but many methods are hard to interpret cl...
Recurrent acute care visits are a common yet preventable outcome for many children with asthma. Machine learning (ML) applied to electronic medical re...
OBJECTIVE: Transabdominal fetal pulse oximetry (TFO) has the potential to supplement present intrapartum fetal monitoring approaches, which cannot acc...
OBJECTIVE: Cardiac quantitative MRI (qMRI) is a powerful imaging technique for diagnosing pathologies such as diffuse myocardial fibrosis. One main ch...
Cardiovascular risk factors in adolescence, often persist into adulthood, with low cardiorespiratory fitness representing one of the strongest predict...
BACKGROUND: Accurate lung cancer subtyping from CT images is essential for treatment planning. However, manual interpretation suffers from inter-obser...
The liver's contribution to pulmonary arterial hypertension (PAH) pathogenesis remains unclear. We hypothesized that the liver promotes inflammatory i...
Purpose To evaluate the accuracy and time efficiency of a deep learning (DL)-based tool for automated quantification of functional small airway diseas...
Accurate identification of the inferior alveolar nerve (IAN) is essential for preventing nerve injury during dental and maxillofacial procedures such ...
Programmed death ligand-1 (PD-L1) expression is a key biomarker for identifying non-small cell lung cancer (NSCLC) patients eligible for immunotherapy...
INTRODUCTION/OBJECTIVE: Sanghuang, a traditional Chinese medicinal fungus, exhibits well-documented anti-inflammatory, antioxidant, and antitumor acti...
Keap1 is a central negative regulator of the Nrf2 antioxidant pathway, yet its covalent allosteric modulation remains incompletely understood. Here, w...
Chronic kidney disease (CKD) in children is a rare but serious condition characterized by progressive renal dysfunction and a range of systemic compli...
BACKGROUND: Dysphagia is a highly prevalent condition among patients with stroke. Cervical auscultation serves as a crucial screening method for dysph...
Advances in pediatric research have improved the lives of infants, children, adolescents, and society at large. A decade ago the American Academy of P...
BACKGROUND: The exponential growth of scientific publications has increased the complexity of evidence synthesis. Systematic reviews remain essential ...