Background For many years, clinicians have been seeking for objective pain assessment
solutions via neuroimaging techniques, focusing on the brain to detect human pain …

Artificial Intelligence in healthcare is growing quickly in diagnostics and treatment
management. Despite the quantity and variety of studies its role in clinical care is not clear …

Objective To test whether preoperative pain sensitivity is associated with the postoperative
axial pain (PAP) in degenerative cervical myelopathy (DCM) and to explore its underlying …

Machine learning is becoming an increasingly common component of routine data analyses
in clinical research. The past decade in pain research has witnessed great advances in …

Currently, strategies to diagnose patients and predict neurological recovery in cervical
spondylotic myelopathy (CSM) using MR images of the cervical spine are urgently required …

Pain assessment is a challenging task encountered by clinicians. In clinical settings,
patients' self-report is considered the gold standard in pain assessment. However, patients …

Assessing pain in patients unable to speak (also called non-verbal patients) is extremely
complicated and often is done by clinical judgement. However, this method is not reliable …

Introduction Pain assessment is extremely important in patients unable to communicate and
it is often done by clinical judgement. However, assessing pain using observable indicators …

A fluent conversation with a virtual assistant, person-tailored news feeds, and deep-fake
images created within seconds—all those things that have been unthinkable for a long time …

Significance: Knee osteoarthritis (OA) is a common joint disease causing chronic pain and
functional alterations (stiffness and swelling) in the elderly population. OA is currently treated …