Latest AI and machine learning research in pulmonology for healthcare professionals.
Acute exacerbation chronic obstructive pulmonary disease (AECOPD) is associated with significant poo...
This study aimed to investigate the robustness of a deep learning (DL) fusion model for low training...
Peripheral blood oxygen saturation (SpO ) is an essential indicator of respiratory functionality and...
The employment of machine learning approaches has shown promising results in predicting cancer. In t...
OBJECTIVES: Virtual monochromatic images (VMI) are increasingly used in clinical practice as they im...
The histopathologic distinction of lung adenocarcinoma (LADC) subtypes is subject to high interobser...
OBJECTIVES: The purpose of this study was to evaluate the incremental value of artificial intelligen...
Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease ...
PURPOSE: To evaluate the role of quantitative features of intranodular vessels based on deep learnin...
Biochemical oxygen demand (BOD) is one of the most important parameters used for water quality asses...
BACKGROUND: Respiratory motion induces artifacts in reconstructed cardiac perfusion SPECT images. Co...
In the last decade, even thoracic surgery has seen an increase in the use of robotic surgical system...
Flexible wearable pressure sensors have received increasing attention as the potential application o...
Epidemiological evidence presents that dust storms are related to respiratory diseases, such as pulm...
BACKGROUND: Innate immune effectors, dendritic cells (DCs), influence cancer prognosis and immunothe...
RATIONALE AND OBJECTIVES: The effect of different computed tomography (CT) reconstruction kernels on...
PURPOSE: Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT exam...
Oxygen therapeutics have a range of applications in transfusion medicine and disease treatment. Synt...
Pure ground-glass nodules (pGGNs) on chest CT representing invasive adenocarcinoma (IAC) warrant lo...
OBJECTIVES: The application of artificial intelligence (AI) to the field of pathology has facilitate...
PURPOSE: Computer-aided diagnosis (CAD), which assists in the interpretation of chest radiographs, i...