Pain Management

The Relational Care-AI Alignment Framework: An Ethical Model for Artificial Intelligence Involvement in Person-Centred Fundamental Care.

AIM: To propose an ethical decision-making framework for artificial intelligence (AI) involvement in person-centred fundamental care, organised around the relational dependency of care activities and grounded in the Fundamentals of Care Framework and the Caring Life Course Theory. DESIGN: Discursive paper integrating care ethics, the Fundamentals of Care Framework, the Caring Life Course Theory, p...

An overview of current and emerging strategies for phantom limb pain.

INTRODUCTION: Phantom limb pain (PLP) is a disabling neuropathic pain syndrome affecting many individuals following limb amputation. Despite decades of research, PLP management remains challenging because of its complex and incompletely understood pathophysiology. AREAS COVERED: According to the SANRA recommendations, this updated narrative review provides a critical overview of current pathophysi...

Severity-Graded MRI-Detected TMJ Effusion Is Associated With Pain and Dysfunction in Temporomandibular Disorder Patients.

BACKGROUND: Temporomandibular joint (TMJ) effusion on magnetic resonance imaging (MRI) is considered a radiologic sign of intra-articular inflammation...

The High-Intensity Zone: A Dynamic Inflammatory Hub in Lumbar Disc Degeneration.

The lumbar intervertebral disc high-intensity zone (HIZ), a focal hyperintensity within the annulus fibrosus on T2-weighted magnetic resonance imaging...

Multimodal deep learning fusion for automatic pain detection in cancer patients.

INTRODUCTION: Since pain is a multidimensional and subjective experience, pain assessment remains challenging. With advances in artificial intelligenc...

Clinically aligned artificial intelligence for glaucoma diagnosis: enhancing retinal nerve fibre layer interpretation from fundus images.

BACKGROUND/OBJECTIVES: This study aimed to develop an interpretable artificial intelligence (AI) screening system that replicates a specialist's evalu...

Resolving stratified Pb and Cr hazards in 3D at an abandoned steel complex: A heterogeneity-learning approach to risk-based remediation.

Lead (Pb) and chromium (Cr) are priority soil hazards: Pb is a potent neurotoxicant and Cr (VI) is a recognized carcinogen, both persisting for decade...

Automated acute pain assessment in brachycephalic cats with ocular pain using the Feline Grimace Scale.

OBJECTIVES: This study aimed to evaluate the feasibility and limitations of an AI-powered Feline Grimace Scale (FGS) pipeline for acute pain assessmen...

Dynamic Aware Biopsy Needle Identification in Ultrasound Images Using Temporal Prior Guided U-Net Cross Transformer With Limited Training Data.

OBJECTIVE: Ultrasound-guided needle placement has been commonly used for minimally invasive clinical procedures, including biopsy, regional anesthesia...

Limited impact of CT-based breast tissue composition on skin toxicity, fibrosis, edema and liponecrosis prediction after moderately hypofractionated whole-breast radiotherapy.

BACKGROUND: The study assessed the role of CT-based breast tissue composition in predicting toxicities after moderately hypofractionated whole-breast ...

Exploring the role of pain-related fear and lifting biomechanics in predicting low back pain incidence using supervised machine learning.

Greater lifting-specific pain-related fear has been associated with reduced lumbar spine motion during lifting, suggesting fear-driven protective move...

Novel Musculoskeletal Hypotheses in the Armed Services Trauma and Rehabilitation Outcome (ADVANCE) Cohort: Development and Application of Sparse Group Factor Analysis Methodology.

BACKGROUND: Musculoskeletal conditions are a leading global cause of disability, yet the factors influencing long-term musculoskeletal health, particu...

EEG-X: An Integrated Framework for Automated Quantitative EEG Analysis in Epilepsy Diagnosis.

Accurate interpretation of electroencephalography (EEG) remains a major challenge in epilepsy diagnosis, particularly given that patient heterogeneity...

Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost).

BACKGROUND: Predicting pain intensity in patients with low back pain (LBP) remains a complex task due to the biopsychosocial nature of pain. Pain inte...

Natural language processing tool for extracting information about opioid overdoses in the USA from case narratives in the violent death reporting system.

BACKGROUND: Improving the infrastructure for drug overdose surveillance is critical for identifying new threats and responding to emerging trends. We ...

[Endometriosis pain research in Germany : ENDO-PAIN and StEPP-UPP-two new research consortia on endometriosis pain].

Endometriosis is one of the most common causes of chronic pelvic or lower-abdominal pain, yet mechanisms, predictors, and patient-centered treatment p...

A Convolutional Neural Network Combining Multi-scale Convolution and Functional Connectivity for Predicting rTMS Efficacy in MUD.

PURPOSE: Repetitive transcranial magnetic stimulation (rTMS) is a promising neuromodulation approach for treating methamphetamine use disorder (MUD), ...

DIFNet: A Dual-Branch Interactive Fusion Network for Femoral Nerve Segmentation in Ultrasound Images.

Accurate femoral nerve (FN) segmentation in ultrasound images is crucial for nerve blocks but remains challenging due to its tortuous structure, large...

RT2C: Predicting Time-to-New Caries with Structured Dental Data Using RNN.

Dental caries is a highly prevalent chronic condition requiring accurate tools to identify at-risk patients and guide preventive care. Most existing c...

Exploratory development of prediction models for pharmacotherapy outcomes in trigeminal neuralgia: a combined analysis based on multi-source data.

BACKGROUND: Drug-refractory trigeminal neuralgia (DRTN) represents a formidable challenge in clinical management, with approximately 30%-50% of patien...