Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosi...
PURPOSE: Hyaluronic acid (HA) is a novel inflammatory biomarker with a prognostic value for several ...
Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predic...
BACKGROUND: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortalit...
The purpose of this study was to evaluate whether the optimal operating points of adult-oriented art...
RATIONALE AND OBJECTIVES: To evaluate and compare image quality of different energy levels of virtua...
Significant efforts were currently being made worldwide to develop a tool capable of distinguishing ...
Patients with Non-Small Cell Lung Cancer (NSCLC) present a variety of clinical symptoms, such as dys...
BACKGROUND: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complain...
It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...
To investigate the feasibility of non-invasively estimating the arterial partial pressure of carbon ...
Two experiments evaluated the effects of an injectable trace mineral (ITM) solution at weaning on tr...
Wastewater treatment plants (WWTPs) generate vast amounts of water quality, operational, and biologi...
Human respiratory syncytial virus (RSV) remains a significant global health threat, particularly for...
The prevalence of spinal tuberculosis (ST) is particularly high in underdeveloped regions with inade...
BACKGROUND: The detection and classification of lung nodules are crucial in medical imaging, as they...
BACKGROUND: The composite physiologic index (CPI) was developed to estimate the extent of interstiti...
PURPOSE: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease. PANoptosis, a u...
The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical diagnosis, particul...
The increasing prevalence of obesity and metabolic disorders has created a significant demand for pe...
BACKGROUND: This study aimed to develop predictive models with robust generalization capabilities fo...