Latest AI and machine learning research in pain management for healthcare professionals.
Community-based drug checking services are challenged in their ability to reliably detect low concen...
PURPOSE: This study aims to clarify the associations between task complexity and Artificial Intellig...
Opioid withdrawal symptoms (OWS) represent a major clinical challenge during abstinence, imposing ph...
UNLABELLED: CACNA1A- and GAA-FGF14-related channelopathies are among the most frequent genetic etiol...
Oxygenated block polymers, comprising esters and carbonates, are priority materials to replace petro...
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the nee...
BACKGROUND: Labor pain is a major physiological and psychological stressor for women during childbir...
One in 25 deaths worldwide is related to liver disease, and often with multiple hepatosplenic condit...
Recent advancements in digital technologies have profoundly transformed healthcare delivery, sports ...
BACKGROUND: Migraine is a complex and disabling neurological disorder shaped by the interplay of bio...
Aboveground biomass (AGB) in cultivated Leymus chinensis grasslands is strongly influenced by irriga...
BACKGROUND: Multicomponent programs combining therapeutic exercise, cognitive-behavioral therapy, an...
Digital twin technology has emerged as a quintessential facilitator of industrial digitization withi...
BACKGROUND: Chronic low back pain (CLBP) is among the most disabling musculoskeletal disorders world...
OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-a...
OBJECTIVES: Chronic postsurgical pain (CPSP) is a significant burden affecting ∼30% of patients afte...
OBJECTIVES: Artificial intelligence (AI) applications are being increasingly explored in pain medici...
OBJECTIVE: To determine whether changes in knee-adjacent subcutaneous fat (kaSCF) are associated wit...
OBJECTIVES: This study aimed to investigate the association of COX-2 gene polymorphisms with key cli...
OBJECTIVE: Emergency department (ED) encounters represent valuable opportunities to initiate evidenc...