Latest AI and machine learning research in work force for healthcare professionals.
The aim of the present study was to compare the effectiveness of AI-assisted training and convention...
At present, as the problem of water shortage and pollution is growing serious, it is particularly im...
Viruses of bacteria, "phages," are fundamental, poorly understood components of microbial community ...
The shortage of food and freshwater sources threatens human health and environmental sustainability....
G protein-coupled receptors (GPCRs) play a crucial role in cell function by transducing signals from...
BACKGROUND: Long-term care (LTC) homes face the challenges of increasing care needs of residents and...
BACKGROUND: Burnout is usually defined as a state of emotional, physical, and mental exhaustion that...
Burnout and workforce attrition present pressing global challenges in healthcare, severely impacting...
We aim to provide an overview of technical and clinical unmet needs in deep learning (DL) applicatio...
Mechanobiological measurements have the potential to discriminate healthy cells from pathological ce...
Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops ...
Pre-training deep learning models with large data sets of natural images, such as ImageNet, has beco...
Semi-supervised medical image segmentation (SSMIS) has witnessed substantial advancements by leverag...
Minimal residual disease (MRD) assessment is a known surrogate marker for survival in multiple myelo...
There are over 5.3 million Americans who face acquired brain injury (ABI)-related disability as well...
BACKGROUND: Cancer-associated fibroblasts (CAFs) are found in primary and advanced tumours. They are...
Extended reality (XR) technology combines physical reality with computer synthetic virtuality to del...
The effective design of combinatorial libraries to balance fitness and diversity facilitates the eng...
BACKGROUND: Mental health issues among healthcare workers remain a serious problem globally. Recent ...
Machine learning has been employed in recognizing protein localization at the subcellular level, whi...
BACKGROUND: The diagnosis of inflammatory rheumatic diseases (IRDs) is often delayed due to unspecif...