Pain Management

Task complexity and AI dependency among college students: the mediating roles of cognitive load, future anxiety, and task motivation.

PURPOSE: This study aims to clarify the associations between task complexity and Artificial Intelligence (AI) dependency among university students and to examine the roles of cognitive load, future anxiety, and task motivation in these associations. METHODS: A structured questionnaire survey was conducted with 442 college students, collecting self-reported data on task complexity, AI dependency, c...

Neurophysiological signatures of rumination's impact on opioid withdrawal severity.

Opioid withdrawal symptoms (OWS) represent a major clinical challenge during abstinence, imposing physiological distress and increasing psychological vulnerability to relapse. Psychological factors contributing to individual differences in OWS severity remain understood, and reliable biomarkers for OWS severity are still lacking, highlighting the need for early identification and timely interventi...

Genotype and Age at Onset Drive Vermis Atrophy in CACNA1A- and GAA-FGF14-related Ataxias.

UNLABELLED: CACNA1A- and GAA-FGF14-related channelopathies are among the most frequent genetic etiologies of cerebellar ataxia. They display overlappi...

Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.

Oxygenated block polymers, comprising esters and carbonates, are priority materials to replace petrochemical polymers in a circular plastics economy. ...

Thoracic muscle loss increases the use of mechanical ventilation in elderly patients with pulmonary embolism: constructing and validating a machine learning model on a two-center cohort.

OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the need for mechanical ventilation (MV) in elderly patie...

Determinants of labor epidural analgesia uptake and associations with maternal-neonatal outcomes: a stratified cohort study with risk prediction modeling.

BACKGROUND: Labor pain is a major physiological and psychological stressor for women during childbirth. Epidural analgesia is widely recognized as the...

Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis.

One in 25 deaths worldwide is related to liver disease, and often with multiple hepatosplenic conditions. Yet, little is understood of the risk factor...

An IoT-enabled CRNN framework for secure wearable sensor-based activity recognition in physical education.

Recent advancements in digital technologies have profoundly transformed healthcare delivery, sports analytics, and physical activity surveillance. The...

Elucidating biopsychosocial mechanisms in migraine: an integrative analytics approach combining genetics, neuroimaging, and machine learning.

BACKGROUND: Migraine is a complex and disabling neurological disorder shaped by the interplay of biological, psychological, and behavioral factors. Cu...

UAV-based aboveground biomass estimation via trait-mediated pathways in a cultivated Leymus chinensis grassland.

Aboveground biomass (AGB) in cultivated Leymus chinensis grasslands is strongly influenced by irrigation, nitrogen fertilization, and mowing, yet many...

Predicting Non-Response to Multicomponent Treatment in Fibromyalgia: Development and Validation of a Machine Learning Model.

BACKGROUND: Multicomponent programs combining therapeutic exercise, cognitive-behavioral therapy, and pain neuroscience education demonstrate overall ...

Hierarchical multi-attention neural networks for sensor fault diagnosis and mitigation in digital twins.

Digital twin technology has emerged as a quintessential facilitator of industrial digitization within the paradigm of Industry 5.0. Nonetheless, its e...

Telerehabilitation of chronic low back pain: protocol of a systematic review and network meta-analysis.

BACKGROUND: Chronic low back pain (CLBP) is among the most disabling musculoskeletal disorders worldwide. Traditional in-person rehabilitation is ofte...

DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG.

OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-apneic sleep arousals, which are brief awakenings t...

Exploration of Different Machine Learning Methods and Domains of Predictors for Chronic Postsurgical Pain After Video-Assisted Thoracoscopic Surgery.

OBJECTIVES: Chronic postsurgical pain (CPSP) is a significant burden affecting ∼30% of patients after video-assisted thoracoscopic surgery (VATS). The...

Artificial Intelligence for Predicting Clinical Outcomes in Interventional Pain Medicine for Spine Disorders: A Systematic Review.

OBJECTIVES: Artificial intelligence (AI) applications are being increasingly explored in pain medicine due to AI's ability to handle multidimensional ...

Regenerative and Stem Cell-Based Therapies for Arthritis: Harnessing Mesenchymal Stem Cells, Exosomes, and Bioengineered Scaffolds for Functional Joint Repair.

Arthritis, encompassing degenerative disorders such as osteoarthritis (OA) and autoimmune diseases like rheumatoid arthritis (RA), remains a leading c...

Increase in knee-adjacent subcutaneous fat is associated with cartilage degeneration independent of BMI: A four-year analysis of the OAI dataset.

OBJECTIVE: To determine whether changes in knee-adjacent subcutaneous fat (kaSCF) are associated with changes in cartilage thickness, cartilage T2 rel...

Genetic insights into migraine pathophysiology: COX-2 1195 A>G (rs689466) and COX-2 765 G>C (rs20417) polymorphisms and their clinical implications.

OBJECTIVES: This study aimed to investigate the association of COX-2 gene polymorphisms with key clinical features of migraine, including headache ons...

LLMs show bias in opioid prescribing.