Pulmonology

Pediatric asthma management via integration of a remote spirometry device into an EHR-based artificial intelligence-powered clinical decision support system: A feasibility pragmatic clinical trial.

BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prev...

Utilizing data mining to improve asthma control in children: a study on influential factors.

OBJECTIVE: To identify the most influential features of asthma control in children and to assess whe...

Multimorbidity and memory-related disorders in older adults: A cross-national study based on three large longitudinal cohorts.

BACKGROUND: Memory-related disorders pose a growing burden on ageing populations, yet the global und...

HERC5, IFI6, IFIT3, and OASL as potential diagnostic biomarkers for systemic lupus erythematosus: an integrated bioinformatics, machine learning and clinical validation.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a life-threatening autoimmune disorder causing mul...

Development and Validation of an Artificial Intelligence Surgical Video Analysis Model for Predicting Visceral Pleural Invasion in Lung Cancer Surgery: A Multicenter Study.

BACKGROUND: Intraoperative diagnosis of visceral pleural invasion (VPI) during video-assisted thorac...

The micro- and nanoplastics exposome feedback loop drives synergistic air-lung toxicity.

Airborne micro- and nanoplastics (MNPs) are now recognized as persistent components of the atmospher...

eCAPRI: a novel tool combining clinical and imaging data for post-TAVI mortality prediction.

OBJECTIVES: Transcatheter aortic valve implantation (TAVI) is crucial for treating calcified aortic ...

Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation.

BACKGROUND: Right-ventricular dysfunction (RVD) in acute pulmonary embolism (PE) carries excess shor...

A nomogram model integrating ultrasound-based multimodal radiomics features and clinical indexes for diagnosing significant hepatic fibrosis in AILD patients.

OBJECTIVE: To develop a prediction model combining radiomics features from 2D ultrasound (2D-US) and...

Comment on "Medication-based mortality prediction in COPD using machine learning and conventional statistical methods".

Development of interfacial oxygen micro-nanobubble technology for hypoxia remediation: Machine-learning assisted optimization and mechanistic insights into sustained oxygen release.

Aquatic deoxygenation requires efficient and durable oxygenation strategies. Here, we developed a da...

Blood metabolic panels for identifying significant fibrosis and inflammation in patients with MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD) remains a prevalent condition with ...

Improving Genotype Imputation in High-Dimensional Pharmacogenomics Using Multiple Imputation: Evaluation with Machine Learning Approaches.

Multiple imputation is well-established for handling missing data, yet its use in high-dimensional g...

Automated lung sound detection via Bi-GRU-modified SqueezeNet architecture with new stock well feature set.

Lung sound analysis is critical for diagnosing respiratory diseases such as asthma, bronchiectasis, ...

Artificial intelligence and machine learning in thrombosis and hemostasis: a scoping review of clinical and laboratory applications, challenges, and future directions.

This scoping review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Me...

HeptaTB Dx: a diagnostic model leveraging cuproptosis-ferroptosis crosstalk for distinguishing latent from active tuberculosis.

UNLABELLED: Distinguishing latent tuberculosis infection (LTBI) from active tuberculosis (ATB) remai...

Amentoflavone from Ginkgo biloba inhibits EMT-driven lung cancer metastasis by targeting TGFBR2: Integrative network pharmacology, machine learning, and experimental validation.

ETHNOPHARMACOLOGICAL RELEVANCE: In non-small cell lung cancer (NSCLC), fatal outcomes predominantly ...

Template-guided reconstruction of pulmonary segments with neural implicit functions.

High-quality 3D reconstruction of pulmonary segments plays a crucial role in segmentectomy and surgi...

Optimising Sleep Stage Detection Using a Minimal Non-EEG Physiological Signal Set and Deep Learning.

Automatic sleep stage classification is essential for enabling non-invasive, at-home monitoring. How...

Integrative bioinformatics analysis reveals that microplastics promote chronic rhinosinusitis with nasal polyps through NOXO1-mediated oxidative stress and myoepithelial cell reprogramming.

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a complex inflammatory disease whose environmen...

Synergistic impact of insulin resistance and hepatic fibrosis on cardiovascular events in patients with coronary artery disease: A machine learning subtyping and interaction analysis.

BACKGROUND AND AIMS: Insulin resistance (IR) and hepatic fibrosis are significant yet underexplored ...