Latest AI and machine learning research in pulmonology for healthcare professionals.
UNLABELLED: AI-assisted radiomics is an emerging tool for precision oncology, and many studies have recently shown promising results. However, there are still differences in whether it can be applied in clinical practice. This study aimed to evaluate the diagnostic accuracy of PET-based radiomics in ML models for histological subtype classification of lung cancer through a systematic review and me...
As a prevalent clinical condition, it is critical to distinguish between bacterial and viral respiratory tract infections given their pivotal role in guiding appropriate pharmaceutical interventions and preventing antibiotic misuse. Exhaled breath (EB) contains a spectrum of disease-specific biomarkers, enabling precise diagnostic analysis. Thus, EB analysis using an electronic nose (e-nose) to re...
Extracorporeal membrane oxygenation (ECMO) is a medical device that provides temporary external circulation and respiratory support during heart-lung ...
This study aimed to assess the prevalence of respiratory symptoms among informal waste pickers in Colombia and identify the contributing demographic, ...
INTRODUCTION: Severe respiratory infections pose a major challenge in clinical practice, especially in older adults. Body composition analysis could p...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the predominant subtype of renal cancer, with a poor prognosis driven by therapy resistance and...
Lung cancer remains the leading cause of cancer-related deaths worldwide. Low-dose computed tomography (LD-CT) screening, combined with effective mini...
RATIONALE AND OBJECTIVES: To investigate lung changes in patients with polymyositis/dermatomyositis-associated interstitial lung disease (PM/DM-ILD) u...
Enteral feeding needs secure access to the upper gastrointestinal tract, an evaluation of the gastric function to detect gastrointestinal intolerance,...
Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Effective screening strategies for early diagnosis that could improve disea...
Detecting infectious disease outbreaks promptly is crucial for effective public health responses, minimizing transmission, and enabling critical inter...
BACKGROUND: Ferroptosis, an iron-dependent form of regulated cell death, has garnered significant attention as a potential therapeutic target in oncol...
Hospital-acquired pneumonia (HAP) is prevalent in the neuro-intensive care unit (NICU), significantly increasing susceptibility to infections with mul...
To develop and validate an explainable machine learning (ML) tool to help clinicians predict the risk of propofol-associated hypertriglyceridemia in c...
Liver sinusoidal endothelial cells (LSECs) lose their characteristic fenestrations and become capillarized during the progression of liver fibrosis. M...
Objective Idiopathic pulmonary fibrosis (IPF), which radiologically/pathologically manifests mainly as usual interstitial pneumonia (UIP), is easily c...
OBJECTIVES: Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease. Chest high-resolution CT (HRCT) is instrumental in IPF man...
OBJECTIVE: Aging is a natural process that affects cellular function. In peritoneal dialysis (PD), chronic exposure to dialysate induces oxidative str...
The Moon's gravitational field strength (17% Earth's gravity) may facilitate the use of bodyweight jumping as an exercise countermeasure against muscu...
Cross-adaptation occurs when exposure to one environmental stressor (e.g., heat) induces protective responses to another (e.g., hypoxia). Although pos...