Pain Management

Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approach.

Prognostic models play an important role in the clinical management of cervical radiculopathy (CR). ...

Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm.

Avoidance behavior is a key contributor to the transition from acute pain to chronic pain disability...

Artificial intelligence interventions focused on opioid use disorders: A review of the gray literature.

BACKGROUND: With the artificial intelligence (AI) paradigm shift comes momentum toward the developme...

Effectiveness of Radiofrequency Ablation in the Treatment of Painful Osseous Metastases: A Correlation Meta-Analysis with Machine Learning Cluster Identification.

A systematic review and meta-analysis of pain response after radiofrequency (RF) ablation over time ...

Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically mean...

The effect of a social robot intervention on sleep and motor activity of people living with dementia and chronic pain: A pilot randomized controlled trial.

OBJECTIVE: To investigate the effect of a social robot intervention on sleep and motor activity in n...

Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images.

BACKGROUND/AIMS: To develop a deep learning system for automated glaucomatous optic neuropathy (GON)...

The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.

INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease ...

Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

BACKGROUND: A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach h...

Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network.

The paper focuses on the development of a reliable medical expert system for diagnosis of low back p...

Ensemble neural network approach detecting pain intensity from facial expressions.

This paper reports on research to design an ensemble deep learning framework that integrates fine-tu...

Pain-CKB, A Pain-Domain-Specific Chemogenomics Knowledgebase for Target Identification and Systems Pharmacology Research.

A traditional single-target analgesic, though it may be highly selective and potent, may not be suff...

Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification.

Bone marrow fat (BMF) fraction quantification in vertebral bodies is used as a novel imaging biomar...

Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks.

Deep learning with Convolutional Neural Networks has shown great promise in image-based classificati...

Accessory neuropathy after minimally invasive robotic mitral valve repair: Further evidence to support an inflammatory etiology.

Pain phenotypes classified by machine learning using electroencephalography features.

Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study...

Progressive Multiple Sclerosis Transcriptome Deconvolution Indicates Increased M2 Macrophages in Inactive Lesions.

Accumulating evidence suggests M2 macrophages contribute to tissue reparation and limit inflammation...

Computer Kinesiology: New Diagnostic and Therapeutic Tool for Lower Back Pain Treatment (Pilot Study).

The aim of this study was to demonstrate the effectiveness of the diagnostic and therapeutic medical...

The Bayesian brain in imbalance: Medial, lateral and descending pathways in tinnitus and pain: A perspective.

Tinnitus and pain share similarities in their anatomy, pathophysiology, clinical picture and treatme...

Pain intensity estimation based on a spatial transformation and attention CNN.

Models designed to detect abnormalities that reflect disease from facial structures are an emerging ...

Machine learning-based automated classification of headache disorders using patient-reported questionnaires.

Classification of headache disorders is dependent on a subjective self-report from patients and its ...