Pain Management

Nalmefene and naltrexone reduce alcohol intake via selective efficacy in subpopulations distinguished by behavioral and blood-based biomarkers.

BACKGROUND: The relative efficacies of nalmefene versus naltrexone for alcohol use disorder is the subject of intense and ongoing debate. The two pan-opioid receptor ligands differ primarily in actions at the kappa opioid receptor, where naltrexone acts as an antagonist and nalmefene acts as a partial agonist. Parallel clinical trials for nalmefene or naltrexone have produced widely disparate outc...

Artificial Intelligence in Neurology and Neuro-Ophthalmology: Current Applications and Future Directions.

Artificial intelligence (AI) is revolutionizing neuro-ophthalmology by enhancing diagnostic accuracy and clinical decision-making. Techniques like deep learning, convolutional neural networks, and transfer learning effectively detect conditions such as optic neuropathies, papilledema, and glaucoma through imaging analysis. AI also supports patient triage, monitors disease progression, and streamli...

Machine learning for discovery of clinical pain biomarkers following spinal cord injury.

Chronic pain is highly prevalent in patients with spinal cord injury (SCI) and further degrades the quality of life in individuals already struggling ...

Risk Factors and an Interpretable Machine Learning Model for Predicting Spinal Epidural Lipomatosis: A Multicenter Study.

STUDY DESIGN: A retrospective multicenter study. OBJECTIVE: To identify independent risk factors for spinal epidural lipomatosis (SEL) and to develop ...

Lightweight interpretable AI model using multiple blood parameters for emergency diagnosis of acute appendicitis.

BACKGROUND: Acute appendicitis poses diagnostic challenges due to symptom overlap with other abdominal conditions, often leading to misdiagnosis or mi...

Rumination is more important than other variables in the association between social media use and depression: A multi-method study.

The relationship between social media use (SMU) and mental health, particularly depression, remains inconclusive. The present study recruited 925 coll...

RoGAtten: Rotary gated linear attention for multivariate time series forecasting.

Thousands of network nodes in the Internet of Things produce vast amounts of long-term time series. Predicting network traffic helps identify security...

Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial Intelligence.

OBJECTIVES: The objective was to develop an artificial intelligence (AI) model for predicting acute coronary occlusion myocardial infarction (OMI) in ...

Somatic and psychological predictors of chronic postsurgical pain in cancer patients: a machine learning approach in a longitudinal two-centre study.

BACKGROUND: Chronic postsurgical pain is a significant medical concern, particularly in cancer patients. However, most previous studies overlooked the...

Clinical pain increased with older brain age, yet placebo effects were preserved.

Chronic pain is linked to accelerated brain aging, often measured through the brain-age gap (BAG), the difference between chronological age and neuroi...

MonoGRU: A theoretical and empirical evaluation of a streamlined gated recurrent unit for rainfall forecasting.

Accurate rainfall forecasting is a critical component of climate analysis and disaster management, directly influencing agricultural planning, water r...

Is chronic low back pain related to sleep disturbances? A self-organizing maps for unsupervised machine learning-based patient phenotyping.

BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause of disability worldwide. Among the various contribu...

Elucidating hydrogen bonding and synergistic adsorption mechanisms of morphine on deep eutectic solvent-functionalized biochar through machine learning and density functional theory.

Adsorbent materials effectively separated psychoactive substances from the ambient medium through adsorption, serving as a sustainable removal strateg...

Adolescents with non-suicidal self-injury exhibit increased pain empathic neural reactivity and personal distress to physical but not affective pain.

BACKGROUND: Non-suicidal self-injury (NSSI) in adolescents represents a critical public health issue. While symptomatic links between NSSI and alterat...

Data-Driven Learning of Optimal Position-Dependent Exact-Exchange Energy Density Mixing for Improved Density Functionals.

A transparent, data-driven route to improve approximate density functionals by learning only the position dependence of an exact-exchange admixture in...

A chalcone-rich extract from licorice root inhibits liver steatosis and fibrosis via regulating PPARα and TGFβ signaling.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major liver disorder, which seriously affects human health globally....

Efficient drug-target affinity prediction via interaction features and parallel CNN-BiLSTM with attention.

Drug-Target Affinity (DTA) prediction is critical for reducing failure rates in drug discovery, but existing deep learning methods often trade efficie...

Subjective sleep quality predict clinical pain severity more strongly than polysomnographic parameters: Machine learning findings from a cross-sectional study.

Poor sleep quality amplifies pain experience. However, it remains uncertain regarding whether subjectively or physiologically assessed sleep parameter...

Enhancing Competencies of Nursing Students in Pain Management Education Through Artificial Intelligence (AI): A Narrative Review.

BACKGROUND: Effective pain management is a vital aspect of quality nursing care, requiring sound knowledge, assessment skills, clinical judgment, and ...

Closed Loop Computer-based Artificial Intelligence Model "Maverik" to Help Diagnose and Differential Diagnoses of Childhood Onset Chronic Nonbacterial Osteomyelitis: Pilot Study.

BACKGROUND: Childhood-onset chronic nonbacterial osteomyelitis (CNO) is an inflammatory bone disease that has become better defined in the last 2 deca...