Pulmonology

Development and internal validation of a nomogram for identifying PHQ-9-defined depression in heart failure patients: A study based on NHANES data from 2005 to 2018.

BACKGROUND: Depression is common in patients with heart failure and may worsen quality of life and c...

Bio-intelligent delivery systems for regenerative medicine: from living biomaterials to clinical translation.

Bio-intelligent delivery systems are redefining the boundaries of regenerative medicine, moving the ...

Interpretable machine learning-enabled risk stratification for pulmonary arterial hypertension associated with unrepaired congenital heart disease: results from a national prospective registry.

BACKGROUND: Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH as...

[Interpretation of joint statement from GOLD/GLI regarding the use of spirometry to define airflow obstruction and diagnose COPD].

Chronic obstructive pulmonary disease(COPD) remains a leading cause of mortality worldwide, and spir...

Comment on "Artificial intelligence enhanced contemporary pulmonary hypertension care".

[Echocardiography in cardiology-Basic tool, current developments and future perspectives].

Despite advances in computed tomography (CT) and magnetic resonance imaging (MRI), transthoracic ech...

Structural evolution of ionizable lipids for nucleic acid delivery.

Ionizable lipid nanoparticles have emerged as a potent non-viral delivery platform for nucleic acid ...

Artificial Intelligence Enables Nonexperts to Automatically Capture Lung Ultrasound Clips Containing B-Lines.

B-line artifacts on lung ultrasound (LUS) are the sonographic sign of partial deaeration of the lung...

Artificial intelligence in neonatal hemodynamics: toward earlier and more reliable detection of pulmonary hypertension.

Vasopressor Use Among Adults With Sepsis in Uganda and Rwanda: A Multicenter Retrospective Cohort Study.

OBJECTIVES: Africa has the highest global sepsis burden. Yet, sepsis treatment guidelines, including...

Factors Associated with 6-Minute Walk Distance Improvement During Outpatient Pulmonary Rehabilitation After Lung Transplantation.

RATIONALE: Pulmonary rehabilitation (PR) is recommended after lung transplantation to optimize recov...

Quantitative estimation of pleural effusion volume on chest radiography: comparison of radiologists and a general-purpose multimodal AI model using CT as the reference standard.

OBJECTIVE: Chest radiography provides limited precision of pleural effusion volume estimates. This s...

Global Research Trends and Insights on AI Usage in Tuberculosis: Bibliometric Analysis.

BACKGROUND: Tuberculosis (TB) remains a major global health challenge despite prevention efforts. AI...

Development and validation of an explainable machine learning model for risk stratification in patients with clinically suspected acute pulmonary embolism: retrospective study.

BACKGROUND: Acute Pulmonary Embolism (APE) is a life-threatening cardiovascular emergency. Computed ...

Explainable machine learning for early prediction of hospital admission in pediatric emergency care: Implications for nursing triage and clinical decision-making.

BACKGROUND: Early identification of children requiring hospital admission is essential for safe pedi...

Long-Term (5-Year) Growth Risk Stratification of Pulmonary Subsolid Nodules by Integrating Clinical, Radiomics, and Deep Learning Features.

RATIONALE AND OBJECTIVES: Pulmonary subsolid nodules (SSN) often exhibit indolent growth, necessitat...

Geometric and quantum kernel methods for predicting skeletal muscle outcomes in experimental chronic obstructive pulmonary disease.

Skeletal-muscle dysfunction is an important extrapulmonary feature of chronic obstructive pulmonary ...

Understanding and Mitigating Distribution Shifts in Volumetric Lung Nodule CAD Using a 3D Vision-Language Framework.

As artificial intelligence becomes increasingly integrated into medical imaging practice, its robust...

Early Detection of Clinical Deterioration in ICU Patients With Respiratory Failure Receiving Vasoactive Support: A Machine Learning Approach to Identifying High-Risk Individuals.

BACKGROUND AND AIMS: Acute respiratory failure requiring intensive care is frequently accompanied by...

Artificial intelligence for lung disease quantification in systemic sclerosis-associated interstitial lung disease and other connective tissue disease-associated interstitial lung disease.

PURPOSE OF REVIEW: Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is the leading ...

Recent progress and perspectives of lithium-rich manganese-based cathodes for high-energy-density solid-state batteries.

All-solid-state batteries (ASSBs) with lithium-rich manganese-based materials (LRMs) are considered ...