Latest AI and machine learning research in pulmonology for healthcare professionals.
Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and problem-solving approaches. These technologies facilitate the prediction of environmental exposures and disease outcomes and enable the identification of causal relationships for subsequent hypothesis testing. AI techniques improve pollution research through the analysis of satellite imagery and the m...
Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aerosolized material from the respiratory tract and may provide insight into local lung biology. Within this matrix, extracellular vesicles (EVs) can carry DNA, RNA, proteins, and lipids that reflect cellular origin and may report tumor-associated inflammation, airway remodeling, and microenvironmental ...
Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy classification of lung nodules on chest CT. Materials...
The landscape of asthma management is undergoing significant transformation. This change is driven by several factors: deeper understanding of asthma ...
BACKGROUND: Paediatric chest imaging is central to diagnosing respiratory and cardiopulmonary disease, particularly in low- and middle-income countrie...
Climate change-induced abiotic stress, including heat, cold, salinity, and drought, increasingly threaten global crop productivity. These challenges h...
BACKGROUND: While digital health technologies promise to reshape the medical journey, their potential might not be realized due to unforeseen implemen...
Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication to determine the underlying cause. Corticosteroid-r...
BACKGROUND: Sepsis-induced acute lung injury (ALI) is a frequent and life-threatening complication of sepsis, yet clinically actionable transcriptomic...
BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring systems to balance early-warning sensitivity, dynami...
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). However, a su...
This review explores the application and limitations of ultrasound elastography (USE) in the pediatric population, addressing its diagnostic value acr...
With the rapid development of bionic electronics for healthcare and human-machine interaction, developing flexible sensors that combine skin-like soft...
Predicting pathological complete response (pCR) to neoadjuvant immunochemotherapy in non-small cell lung cancer (NSCLC) is clinically important yet re...
OBJECTIVES: To characterize chin morphology and investigate its associations with sex, as well as various sagittal and vertical skeletal patterns. MAT...
Vascular tortuosity (VT) is a critical biomarker of disease progression and decision to treat ischemic retinal disorders, particularly retinopathy of ...
Successful development of a predictive digital twin or digital shadow enabling improved batch planning and process optimization of industrial fungal f...
BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment and can be captured using consumer-grade smartphon...
BACKGROUND: Patients with respiratory diseases commonly experience psychological distress. Traditional evidence‑based nursing is limited in personaliz...
Low-Dose Computed Tomography (LDCT) is a widely used imaging modality to perform CT examinations with a reduced radiation exposure to patients, but it...