Latest AI and machine learning research in pain management for healthcare professionals.
Transfer learning, which involves repurposing a trained model on a related task, may allow for bette...
In convolutional neural networks (CNNs), generating noise for the intermediate feature is a hot rese...
The model, Transformer, is known to rely on a self-attention mechanism to model distant dependencies...
Spinal maladies are among the most common causes of pain and disability worldwide. Imaging represent...
Recently, the scenes in large high-resolution remote sensing (HRRS) datasets have been classified us...
: Where self-report is unfeasible or observations are difficult, physiological estimates of pain are...
Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision m...
The research on accurate and intelligent segmentation of knee joint MRI images is of great significa...
BACKGROUND AND AIM: Transversus abdominis plane (TAP) block and local anesthetic infiltration (LAI) ...
With increasingly advanced Internet of Things (IoT) technology, the composition of workshop equipmen...
Functional magnetic resonance imaging (fMRI) has been shown successfully to assess and stratify pati...
Evaluation of tool wear is vital in manufacturing system, since early detections on worn-out conditi...
Chronic pain remains an intractable condition in millions of patients worldwide. Spontaneous ongoing...
Opioid dependency has been a persistent issue in the United States over the past two decades. Incre...
In recent years, multivariate time-series classification (MTSC) has attracted considerable attention...
Accurate estimation and quantification of the corneal nerve fiber tortuosity in corneal confocal mic...
The continuous progress of research and clinical trials has offered a wide variety of information co...
There are many surgical operations performed daily in operation rooms worldwide. Adequate anesthesia...
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes the reliabil...
Automatic and accurate optical coherence tomography (OCT) image classification is of great significa...
This paper aims to explore a new model to study financial stock investment management (SIM) and obta...