Pulmonology

Beyond scarring: a next-generation vision for pulmonary fibrosis management.

BACKGROUND: Interstitial pulmonary fibrosis remains a progressive, fatal lung disease with a median ...

Large Language Models Exhibit High Performance as Computable Phenotypes for Pediatric Asthma Exacerbation Detection in a Retrospective, Observational Study of Emergency Medical Services Encounters.

OBJECTIVES: Pediatric asthma exacerbations are a common emergent condition treated by prehospital em...

Plasma signals of lung tumor promotion for molecular cancer prevention.

Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammat...

A clinical support tool using artificial intelligence to diagnose pulmonary hypertension.

Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.

INTRODUCTION: Exacerbations, impaired health-related quality of life (HRQoL) and reduced exercise ca...

Non-contact on-device detection of obstructive sleep apnea from infrared video.

Obstructive sleep apnea (OSA) affects nearly one billion people worldwide, yet most cases remain und...

Atopic dermatitis.

Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disabili...

Hybrid deep learning approach for early emphysema diagnosis combining fuzzy C-means, TransUNet, and faster mask R-CNN.

Emphysema is a chronic condition of the lungs and it has to be diagnosed at an early age as it can h...

Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on an ancient disease with persistent, unresolved problems.

Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While ...

Artificial intelligence in predicting anesthetic complications: current techniques, clinical applications, and limitations.

Artificial intelligence (AI) is revolutionizing anesthesiology by enhancing the prediction and manag...

Artificial intelligence for right ventricular assessment: current evidence and future directions.

PURPOSE OF REVIEW: Right ventricular size and function are vital to risk stratification in pulmonary...

Chest Radiograph-Derived Age Acceleration as an Early Marker of Pulmonary Dysfunction in Middle-Aged Asians.

BACKGROUND: Deep learning-derived, chest radiographic (CXR) age may capture subclinical structural c...

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru.

Identifying transmission events is important in understanding infectious disease dynamics. Such even...

Leveraging Artificial Intelligence in Allergy, Asthma, and Immunology With Environmental Exposures.

Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and pr...

Extracellular Vesicles in Exhaled Breath Condensate as Emerging Biomarkers in Lung Cancer.

Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aero...

Externally Tested AI Models for Malignancy Classification of Lung Nodules at Chest CT: A Systematic Review and Meta-Analysis.

Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy cla...

A new era beckons in asthma: enhanced models of care, disease remission, artificial intelligence and consumer participation.

The landscape of asthma management is undergoing significant transformation. This change is driven b...

Artificial intelligence in paediatric chest imaging: applications, challenges, and future directions.

BACKGROUND: Paediatric chest imaging is central to diagnosing respiratory and cardiopulmonary diseas...

CeO2 Nanozymes as redox regulators: Reprogramming of reactive oxygen species (ROS) signaling for plant climate resilience.

Climate change-induced abiotic stress, including heat, cold, salinity, and drought, increasingly thr...

Forecasting the Impacts of Artificial Intelligence Assistance in Virtual Consultations for Chronic Obstructive Pulmonary Disease: Exploratory Futures Wheel Study.

BACKGROUND: While digital health technologies promise to reshape the medical journey, their potentia...

How to quickly determine whether patients with chronic cough need corticosteroid treatment--construction of a predictive model for corticosteroid-responsive cough in chronic cough.

Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication t...