Latest AI and machine learning research in pulmonology for healthcare professionals.
In contrast to patients with viral hepatitis, patients with nonalcoholic fatty liver disease (NAFLD)...
This study was conducted to determine the effect of 200 ng mL and 2000 ng mL deoxynivalenol (DON) on...
Lung disease risk stratification is important for both diagnosis and treatment planning, particularl...
From May to July 2015, there was a nation-wide outbreak of Middle East respiratory syndrome (MERS) i...
Lung cancer is the most common cancer that cannot be ignored and cause death with late health care. ...
Functional thyroid carcinoma is an unusual cause of thyrotoxicosis. We describe the clinical present...
It is estimated that in 2015, approximately 1.8 million people infected by tuberculosis died, most o...
To improve the prediction accuracy of respiratory signals using adaptive boosting and multi-layer pe...
Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of...
Free-breathing cardiac magnetic resonance (CMR) imaging has short examination time with high reprodu...
Herein, we report the surface functionality of dicationic cysteamine conjugated cholic acid (DCaC), ...
Hepatic fibrosis is a common middle stage of the pathological processes of chronic liver diseases. C...
OBJECTIVES: High dose of intravenous sulfamethoxazole and trimethoprim (co-trimoxazole) is often use...
High-efficiency lung nodule detection dramatically contributes to the risk assessment of lung cancer...
BACKGROUND: Visual inspection of cardiotocography traces by obstetricians and midwives is the gold s...
Unexplained hypotension in the intensive care unit is commonly attributed to volume depletion, cardi...
Accurate lung nodule segmentation from computed tomography (CT) images is of great importance for im...
OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure ...
As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even dea...
BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based ...
PURPOSE: This article examines feature-based nodule description for the purpose of nodule classifica...