Latest AI and machine learning research in pain management for healthcare professionals.
Exercise-associated hyponatremia (EAH) refers to below-normal serum sodium concentrations [Na+] that...
Logistic regression (LR) and artificial neural networks (ANNs) are widely referred approaches in med...
This research addressed the selection of shoe lasts for footwear design to help relieve the pain ass...
Most proposed methods for TF-binding site (TFBS) predictions only use low order dependencies for pre...
Driver fatigue evaluation is of great importance for traffic safety and many intricate factors would...
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral...
Nociceptin/Orphanin FQ (N/OFQ) is a neuropeptide that modulates pain transmission, learning/memory, ...
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The d...
PURPOSE: Chemotherapy-induced peripheral neuropathy (CIPN) is a common adverse side effect of cancer...
Fear of pain demonstrates significant prognostic value regarding the development of persistent muscu...
GenerationE of huge "omics" data necessitates the development and application of computational metho...
BACKGROUND: Enhanced postoperative care pathways have shifted total knee arthroplasty (TKA) to outpa...
Bacteremia secondary to methicillin-resistant Staphylococcus aureus (MRSA) is a dreaded medical cond...
The median nerve, along with the ulnar nerve, is often anesthetized when performing a lameness exami...
Desomorphine, a semi-synthetic opioid, is a component of the street drug Krokodil. Despite continued...
INTRODUCTION: Total knee arthroplasty (TKA) is a common procedure for improving mobility and quality...
Ulnar nerve compression at the cubital tunnel is the second commonest upper limb neuropathy. Unlike...
OBJECTIVE: Despite the critical importance of pathologically confirmed samples for biomarker validat...
Immunizations are one of the most cost-effective interventions for preventing morbidity and mortalit...
This study investigates the safety and efficacy of a large-dose, needle-based epidural technique in ...
Artificial intelligence allows machines to predict human faculties such as image and voice recogniti...