Pain Management

Clinical Profile of Neurosurgical Consultations from the Emergency Department : A Retrospective Analysis.

OBJECTIVE: This study aimed to retrospectively analyze consultations requested from the emergency departments (EDs) to the neurosurgery (NS) department of a tertiary care hospital, and to comprehensively evaluate the clinical characteristics, referral reasons, and diagnostic and therapeutic processes of these patients. In addition, the study aims to provide concrete recommendations for strategic o...

PRDX6 as a Ferroptosis-Related Hub Gene in the Entorhinal Cortex of Alzheimer's Disease: A Multidimensional Bioinformatics and Experimental Validation Study.

Ferroptosis, an iron-dependent regulated cell death form, is a key pathogenic mechanism in Alzheimer's disease (AD), especially in the entorhinal cortex, a brain region selectively vulnerable to early AD neuropathology. This study aimed to identify peroxiredoxin 6 (PRDX6) as a novel ferroptosis-related hub gene in the entorhinal cortex and validate its diagnostic and therapeutic potential in AD. G...

A hybrid swin transformer-BiLSTM framework and ensemble learning for multimodal brain stroke detection and risk prediction.

Stroke is one of the leading causes of mortality and long-term disability worldwide, primarily resulting from the sudden disruption of cerebral blood ...

Exploring the proprioceptive potential of joint receptors using a biomimetic robotic joint.

In neuroscience, joint receptors have traditionally been viewed as limit detectors, providing positional information only at extreme joint angles, whi...

A DNABERT based deep learning framework for predicting transcription factor binding sites.

Transcription factors are proteins that regulate the expression of genes by binding to specific genomic regions known as Transcription Factor Binding ...

Predicting Heterogeneity of Treatment Effects to Transcranial Direct Current Stimulation for Knee Osteoarthritis Pain and Symptoms: A Machine Learning Approach.

OBJECTIVES: We identified key predictors of the heterogeneity of treatment effects of transcranial direct current stimulation (tDCS) in individuals wi...

The Accuracy of Artificial Intelligence Models in Carpal Tunnel Diagnosis: A Systematic Review and Meta-analysis.

BACKGROUND: Artificial intelligence (AI) has been integrated into diagnostic modalities like nerve conduction studies (NCS) and ultrasound (US) to imp...

Machine Learning Approach to Predict Pain Outcomes Following Primary and Secondary Targeted Muscle Reinnervation in Amputees.

INTRODUCTION: Targeted Muscle Reinnervation (TMR) can prevent and treat neuropathic pain in amputees, but the degree of success varies. This study dev...

Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging.

The clinical diagnosis of fibromyalgia (FM), a syndrome characterized by generalized pain, is challenging due to its unknown etiology and frequent com...

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis.

AIM: Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine lea...

Integrative LC-MS/MS, Bioinformatics, and Molecular Dynamics Reveal Multitarget Antioxidant Mechanisms of Bushen Huoxue Decoction in Intervertebral Disc Degeneration.

Intervertebral disc degeneration (IVDD) is a major cause of low back pain and disability. Excessive reactive oxygen species (ROS) disrupt disc homeost...

Resolving Interpretation Challenges in Machine Learning Feature Selection With an Iterative Approach in Biomedical Pain Data.

BACKGROUND: Machine learning (ML) is increasingly used to analyse pain-related data, emphasising how well variables classify individuals, that is, tra...

Can ChatGPT-4o handle the heat? Benchmarking AI against clinicians in initial burn care: A single-blinded comparative analysis.

INTRODUCTION: Artificial intelligence (AI) tools such as ChatGPT are increasingly accessed by the public for health-related advice; however, their acc...

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into clinical workflows and medical education. However, c...

Descriptive content analysis assessment of ChatGPT responses to substance use disorder treatment questions compared to National health guidelines.

BACKGROUND: Artificial intelligence (AI)-powered large language models like ChatGPT are increasingly used by the public to access health information. ...

Deep Learning and Noninvasive Sensors for Detecting Physiological Dysregulation: A Scoping Review.

Early detection of pain, stress, or hemodynamic instability is key to preventing serious clinical events. In recent years, non-invasive sensors and de...

Clinical Validation of Deep Learning-Accelerated versus Wave-CAIPI Postcontrast 3D T1-MPRAGE for Evaluation of Intracranial Enhancing Lesions.

BACKGROUND AND PURPOSE: Deep learning (DL) reconstruction methods have shown promise in accelerating 2D MRI sequences but have yet to be extensively v...

Machine learning prediction of food addiction in university students using demographic, anthropometric and personality traits.

People's eating habits are influenced by psychological, social, cultural, and behavioral factors. Research shows that certain personality types expose...

Machine learning models for predicting treatment outcomes in chronic non-specific back pain patients undergoing lumbar extension traction.

Dynamic bidirectional data recomposition for efficient road garbage segmentation in semi-supervised learning.

Deep neural networks excel in road garbage segmentation but require costly pixel-level annotations. Balancing accuracy and annotation costs is a key b...