Latest AI and machine learning research in pneumonia for healthcare professionals.
Pandemics like COVID-19 have a huge impact on human society and the global economy. Vaccines are eff...
Deep learning approaches for multi-label Chest X-ray (CXR) images classification usually require lar...
Medical report generation is a valuable and challenging task, which automatically generates accurate...
Fall is a common adverse event among older adults. This study aimed to identify essential fall facto...
In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture ...
Recent advancements in deep learning techniques have significantly improved multi-label chest X-ray ...
In this study, we introduce a novel approach that integrates interpretability techniques from both t...
UNLABELLED: Community mobility, encompassing both active (e.g., walking) and passive (e.g., driving)...
The viruses has spread globally and have been impacted lives of people socially and economically, wh...
BACKGROUND: Periodontitis (PD) is a common chronic inflammatory disease affecting the gums and suppo...
Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity ...
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...
Understanding which viral variants evade neutralization is crucial for improving antibody-based trea...
BACKGROUND: Screening for frequent hospitalizations in the community can help prevent super-utilizer...
Echocardiography is the gold standard of diagnosis and evaluation of patent ductus arteriosus (PDA),...
Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due ...
BACKGROUND/AIMS: To investigate the comprehensive prediction ability for cognitive impairment in a g...
The aim of our work is to determine the importance of habitat features for the selection of the aqua...
The bi-annual international congress on autoimmunity is a huge opportunity for the medical community...
OBJECTIVE: To assess whether the implementation of deep learning (DL) computer-aided detection (CAD)...
Specifying and interpreting the occurrence of emerging pollutants is essential for assessing treatme...