Pain Management

Latest AI and machine learning research in pain management for healthcare professionals.

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Artificial Intelligence for Predicting Treatment Adherence in Opioid Use Disorder: A Scoping Review

Opioid use disorder (OUD) is a chronic condition in which an individual engages in the persistent us...

Neuroinflammation distinguishes HLA haplotypes in progressive supranuclear palsy

Progressive supranuclear palsy (PSP) is a neurodegenerative 4R tauopathy clinically presenting with ...

Machine learning models to detect opioid misuse in Emergency Department patients at triage

Emergency department (ED) encounters represent valuable opportunities to initiate evidence-based tre...

Effects of Parietal Cathodal tDCS during Game Cue Exposure on Internet Gaming Disorder: A Randomized Double-Blind Sham-Controlled Trial

Internet Gaming Disorder (IGD) is officially listed as a behavioral addiction, exhibits high prevale...

Development of a novel musculoskeletal hypothesis using sparse Group Factor Analysis: the ADVANCE cohort

Musculoskeletal conditions are a leading global cause of disability, yet the factors influencing lon...

Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City

Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. Th...

Personalized, closed-loop deep brain stimulation for chronic pain

Chronic pain is a major healthcare problem associated with maladaptive brain circuit changes - many ...

Machine learning based phenotyping of the response to mindfulness for chronic low back pain

Millions of people each year suffer from chronic low back pain (cLBP), which adversely affects their...

Ensemble Machine Learning for Malaria Diagnosis in Resource-Limited Settings Using Clinical and Demographic Features

Sub-Saharan Africa continues to shoulder the heaviest burden of malaria. The 2024 WHO malaria report...

Detecting Stigmatizing Language in Clinical Notes with Large Language Models for Addiction Care

Recent studies have found that stigmatizing terms can incline physicians to pursue punitive approach...

Neuroimaging Correlates of Post-Stroke Pain After Ischemic Stroke: Secondary Analysis of the INSPiRE-TMS Trial

Post-stroke pain (PSP) affects nearly half of stroke survivors, severely compromising quality of lif...

Identifying Key Predictive Features for Opioid Use Disorder Using Machine Learning

Opioid Use Disorder (OUD) continues to pose a pressing public health challenge across the United Sta...

Multi-organ AI Endophenotypes Chart the Heterogeneity of Pan-disease in the Brain, Eye, and Heart

Disease heterogeneity and commonality pose significant challenges to precision medicine, as traditio...

Key features associated with opioid misuse in chronic pain: A machine learning cross-sectional study

Opioid misuse remains a critical public health concern, associated with increased risk of overdose, ...

AI-based synthetic simulation CT generation from diagnostic CT for simulation-free workflow of spinal palliative radiotherapy

Current radiotherapy (RT) planning workflows rely on pre-treatment simulation CT (sCT), which can si...

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 condit...

A deep learning ECG model for localization of occlusion myocardial infarction

Rapid identification and localization of an acute coronary occlusion are vital to prevent myocardial...

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