Pain Management

Comment on "Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy".

Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals.

Machine learning can unravel heterogeneous patterns of brain aging and neurodegeneration, but existing methods offer limited insights into disease progression due to reliance on cross-sectional data. We introduce Coupled Cross-sectional and Longitudinal Non-negative Matrix Factorization (CCL-NMF) to capture dominant brain aging patterns by simultaneously leveraging cross-sectional and longitudinal...

AI-driven quantum chemical exploration of multi-target synthetic opioid analogs for enhanced therapeutic profiles.

EPIMETRIC: A cfDNA Methylation-Based Algorithm for COPD Diagnosis and Stratification.

OBJECTIVE: To develop a blood-based algorithm using cell-free DNA (cfDNA) methylation profiles to diagnose and stratify patients with COPD according t...

An investigation into factors associated with adolescent internet gaming disorder: utilizing machine learning and path analysis model.

With the evolving structure of modern internet gaming, adolescent internet gaming disorder (IGD) has become an increasingly serious public health conc...

Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient unilateral motor weakness. Although familial form...

MRDT-GAN: generative adversarial network with multi-scale residual dense transformer generator for low-dose CT denoising.

Objective.Low-dose computed tomography (LDCT) reduces radiation exposure but introduces noise and artifacts that degrade diagnostic quality. Existing ...

Machine Learning-Based Magnetocardiography Model Aids in Diagnosing Non-ST-Segment Elevation Acute Coronary Syndrome in Acute Chest Pain.

BACKGROUND: Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) is a leading cause of acute chest pain in clinical practice. Magnetocardiograp...

Accurate and robust ambiguity detection in software requirements documents using a GloVe-BiLSTM deep learning framework with data augmentation.

Requirements engineering is an important part of software production, maintenance, and development. Requirements engineering documents are typically w...

Context-Guided Mixture-of-Experts with Multimodal LLMs for Lesion Detection in Buccal Mucosa Images.

INTRODUCTION AND AIMS: Oral lesions are highly prevalent globally, and oral cancer ranks among the most common malignancies, underscoring the need for...

Pilot evaluation of a large language model-mediated pre-consultation interview for vestibular disorders.

OBJECTIVE: Efficient and high-quality history taking is central to vestibular diagnosis, but it is often constrained by limited consultation time and ...

Screening of metabolic-related biomarkers linking intervertebral disc degeneration and type 2 diabetes based on comprehensive bioinformatics analysis and machine learning.

BACKGROUND: Intervertebral disc degeneration (IVDD) is a prominent etiology of lower back pain. Type 2 diabetes (T2D), the most prevalent metabolic di...

From Bio-Interface Materials to Neural Integration: The Next-Generation Brain-Machine Interfaces Powered by Hydrogels.

Brain-machine interfaces (BMIs), which serve as revolutionary tools for neural recording, modulation, and rehabilitation, are highly dependent on the ...

In silico metabolite prediction and LC-HRMS confirmation for forensic analysis of a fatal case involving novel synthetic opioid N, N-dimethyl etonitazene.

Nitazenes are a class of new psychoactive substances (NPS) belonging to the synthetic opioids. It has potent μ-opioid receptor agonist activity. In th...

A Multicenter Prospective Study to Develop a Prediction Model for Postherpetic Neuralgia Using Clinical and Laboratory Indicators.

INTRODUCTION: Postherpetic neuralgia (PHN) is the most common and difficult-to-treat complication of herpes zoster (HZ). This complication not only ca...

MRI-based machine learning model to distinguish hippocampal sclerosis (HS) ILAE type 1 and no HS gliosis only in medial temporal lobe epilepsy.

PURPOSE: Despite recent advances in preoperative work-up of drug resistant medial temporal lobe epilepsy (MTLE), predicting post-surgical seizure and ...

Development of Mind-Body Interventions for the Emergency Department.

Emergency department (ED) visits are a common experience that most individuals will have across their lifetime. ED-based evaluation for acute complain...

High-resolution deep learning DIXON MRI of the sacroiliac joints is non-inferior to standard MRI in patients with suspected axial Spondyloarthritis.

OBJECTIVE: To compare the standard multi-sequence MRI protocol (sMRI) of the sacroiliac joints with a single high-resolution deep learning-reconstruct...

Lumbar Spine Disorder Detection using Segmentation and IBN-MGNet Classification with Enhanced Feature Extraction.

Back pain affects millions worldwide, with lumbar spine disorders (LSDs) being a major contributing factor due to the spine's critical role in support...

The use of artificial intelligence in headache medical and patient education: Generation of visual aids.