Latest AI and machine learning research in pulmonology for healthcare professionals.
Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disability-adjusted life-years burden, ranking 15th among all non-fatal diseases globally. It is characterized by intensely itchy skin and is associated with multiple comorbidities, such as food allergy, asthma, allergic rhinitis and eosinophilic oesophagitis, which are mainly driven by type 2 immune respon...
Emphysema is a chronic condition of the lungs and it has to be diagnosed at an early age as it can harm the lungs effectively as they can be treated and controlled. The quality of the diagnosis depends on the efficient detection of the emphysematous areas in CT scans, yet the majority of the current methods fail in terms of noise, slight tissue differences, and delimiting the area composition. In ...
Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While nearly all hospital-based TB cases in Kampala, the...
PURPOSE OF REVIEW: Right ventricular size and function are vital to risk stratification in pulmonary hypertension, valvular disease, and congenital he...
BACKGROUND: Sepsis remains the leading cause of in-hospital deaths among children, and there is currently a lack of precise early prediction models. T...
BACKGROUND: Deep learning-derived, chest radiographic (CXR) age may capture subclinical structural changes associated with spirometric impairment. RES...
Identifying transmission events is important in understanding infectious disease dynamics. Such events are typically unobservable, particularly in res...
Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and problem-solving approaches. These technologies facil...
Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aerosolized material from the respiratory tract and ma...
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: Aspirin-exacerbated respiratory disease (AERD) is a distinct asthma endotype marked by asthma, nasal polyposis, and respiratory reactions ...
AIM: To develop an automated framework for deep learning (DL)-based segmentation, pulmonary artery indices (PAIs) computation, and rule-based surgical...
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...