Pain Management

Associations of employment status with social media addiction, anxiety, and parenting self-efficacy among mothers of infants: a cross-sectional study using machine learning.

BACKGROUND: Differences in social media addiction, anxiety, and parenting self-efficacy according to maternal employment status have important implications for maternal and child public health. However, evidence comparing these psychosocial outcomes between employed and non-employed mothers of infants remains limited, hindering the development of targeted maternal and child health interventions. T...

Machine learning models of depressive symptoms in middle-aged and elderly patients with chronic kidney disease: A cross-sectional study based on CHARLS.

This study aimed to develop and compare the performance of machine learning models in identifying depressive symptom status among middle-aged and elderly patients with chronic kidney disease (CKD), while identifying key factors that influence depressive symptoms. Data from the 2015 China Health and Retirement Longitudinal Study were used to construct the training and validation sets, while data fr...

Serum IL-19 and Biglycan as Candidate Biomarkers by Proteomic Approach in Patients with Severe Low Back Pain-a Pilot Study.

OBJECTIVE: Low back pain (LBP) is common. Although imaging studies are widely used to evaluate back pain, the link between pain and intervertebral dis...

A subtype of ultrasonic vocalizations during palatable food consumption in rats identified by machine learning-assisted classification.

Identifying behavioral and physiological responses to rewarding stimuli is essential for understanding positive emotional states in animals and for in...

Natural language processing identifies symptoms predicting complete coronary artery occlusion in patients with NSTEMI.

AIMS: One in 10 patients present to the emergency department (ED) with symptoms of acute coronary syndrome (ACS). The 13-item ACS Symptom Checklist is...

A Hybrid CNN-Transformer Model with Crossover Boosted Cheetah Optimization for Prenatal Spina Bifida Identification from Ultrasound Images.

OBJECTIVES: Spina bifida is a birth defect caused by the incomplete closure of the neural tube around the spinal cord. Earlier, various deep learning-...

Predictive Models for Time to First Opioid Use Disorder or Opioid Overdose Among Older Adults.

BACKGROUND: Limited data exist on predictive models incorporating patient-reported and claims-based measures to identify older adults at risk for opio...

Automated detection of trigeminal neuralgia using multi-domain EEG feature analysis and CNN-attention architecture: a comparative machine learning study.

Trigeminal neuralgia (TN) is a debilitating neuropathic pain disorder characterized by sudden, intense facial pain, with diagnosis heavily reliant on ...

A hybrid vision-language artistic images aesthetic evaluation framework based on cross-modal attention and differential evolution.

Aesthetic evaluation of artistic images remains a challenging prediction problem, constrained by the subjective nature of human aesthetic cognition an...

Personalized machine learning prediction of next-day migraine persistence using digital headache diary data.

OBJECTIVES/BACKGROUND: Migraine is a disabling neurological disorder with substantial interindividual variability. Predicting whether an ongoing migra...

Activation of sigma non-opioid intracellular receptor 1 (S1R) receptor inhibits plexin domain containing 2 (Plxdc2) driven microglial inflammation to ameliorate depressive-like behaviours in mice.

BACKGROUND AND PURPOSE: Microglia are central regulators of neuroinflammation in depression. Drivers involved remain incompletely understood. Sigma no...

PeptideSGCL: Structure-Enhanced Graph-Transformer Encoding and Dual-Level Contrastive Learning for Peptide Property Prediction.

Peptides play important roles in biological processes and biomedical applications, and their hemolytic (Hemo) and nonfouling (NF) properties directly ...

Quality indicators for cancer pain management: natural language processing and machine learning from electronic clinical records.

OBJECTIVES: The continual evaluation of quality indicators (QIs) for cancer pain management is essential to maintaining and improving its quality. How...

Cognitive structure and progression in Parkinson's disease: insights from a tablet-based assessment.

Cognitive impairment is an important constraint for PwPD with Parkinson's disease (PwPD). Digital assessments potentially provide more accessible meas...

Endometriosis Unveiled: Innovations in Diagnosis and Management of Endometriosis.

Endometriosis is a chronic inflammatory condition that can result in chronic pain through complex nociceptive, neuropathic, and nociplastic pathways. ...

Frontline Health Workers' Perspectives of the World Health Organization Skin Neglected Tropical Diseases App in Kenya: Qualitative Study on AI-Embedded mHealth Implementation.

BACKGROUND: Skin neglected tropical diseases (NTDs) pose significant diagnostic and management challenges in resource-limited settings due to constrai...

Microfluidic-enabled stretchable thermoelectric device array for multimodal haptic interfaces.

Stretchable thermoelectric devices hold significant promise for thermal haptic interfaces. However, their development has been constrained by limited ...

Driving Mechanisms and Future Trends of Migraine and Tension-Type Headache Burden in G20 Countries: A Comparative Analysis Utilizing Decomposition Analysis and Explainable Machine Learning.

INTRODUCTION: Migraine and tension-type headache (TTH) are leading causes of neurological disability globally. While their macro-trends are documented...

Diagnostic accuracy of large language models in ICOP-based orofacial pain diagnosis: A comparative study.

OBJECTIVE: To compare the diagnostic performance of ChatGPT 5.5, Claude Opus 4.1, Gemini 3 Flash, and Grok 4 in International Classification of Orofac...

fAI-BRO: a multimodal AI decision-support system to address diagnostic delay in fibromyalgia syndrome.

OBJECTIVE: To evaluate the diagnostic accuracy and patient acceptability of fAI-BRO (Fibromyalgia AI-Based Rheumatology Observer), a multimodal artifi...