Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Lung ultrasound can evaluate for pneumothorax but the accuracy of diagnosis depends on e...
BACKGROUND AND OBJECTIVE: In the field of lung cancer research, particularly in the analysis of over...
In tuberculosis (TB), chest radiography (CXR) patterns are highly variable, mimicking pneumonia and ...
The measurement of chemical oxygen demand (COD) is very important in the process of sewage treatment...
Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary fu...
Detecting aberrant cell-free DNA (cfDNA) methylation is a promising strategy for lung cancer diagnos...
OBJECTIVES: CT pulmonary angiography is the gold standard for diagnosing pulmonary embolism, and DL ...
Artificial intelligence (AI) is an emerging technology with numerous healthcare applications. AI cou...
The global outbreak of the COVID-19 pandemic caused by the SARS-CoV-2 virus had led to profound resp...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a prevalent and debilitating respiratory...
Characterization of lung sounds (LS) is indispensable for diagnosing respiratory pathology. Although...
This study aimed to develop a new simple and effective prognostic model using artificial intelligenc...
Short-term exposure to ground-level ozone (O) poses significant health risks, particularly respirato...
OBJECTIVE: To propose a convolutional neural network (EmbNet) for automatic pulmonary embolism detec...
Artificial intelligence (AI) algorithms improved detection of incidental pulmonary embolism (IPE) o...
Computational fluid dynamics (CFD) can be used for non-invasive evaluation of hemodynamics. However,...
BACKGROUND AND AIMS: The global rise of chronic hepatitis B (CHB) superimposed on hepatic steatosis ...
Respiratory rate (RR) is a vital indicator for assessing the bodily functions and health status of p...
BACKGROUND: Acute respiratory infections (ARIs) are the leading cause of death in children under the...
BACKGROUND: There is no individualized prediction model for intensive care unit (ICU) admission on p...
Deep learning has significantly advanced the field of radiology-based disease diagnosis, offering en...