Latest AI and machine learning research in pain management for healthcare professionals.
The model, Transformer, is known to rely on a self-attention mechanism to model distant dependencies...
: 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) ...
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...
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...
Automatic and accurate optical coherence tomography (OCT) image classification is of great significa...
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes the reliabil...
This paper aims to explore a new model to study financial stock investment management (SIM) and obta...
Industrial-based application of supercritical CO (SCCO) has emerged as a promising technology in num...
Pain is a reliable indicator of health issues; it affects patients' quality of life when not well ma...
BACKGROUND: Epidural anaesthesia is a Percutaneous Procedure (PP) which plays a crucial role in surg...
Worldwide, there are nearly 10 million new cases of dementia annually, of which Alzheimer's disease ...
Retinal vessel segmentation is extremely important for risk prediction and treatment of many major d...
Background Lumbar spine MRI studies are widely used for back pain assessment. Interpretation involve...