Pain Management

Temporal Drivers of Opioid-Related ED Visits: An Ensemble Machine Learning Study With Consensus-Based Feature Attribution.

Identification of modifiable risk factors for prescription opioid use disorder (OUD)-related emergency department (ED) visits (ICD-10 F11.xx) is a clinical priority; however, most published models remain cross-sectional and lack pharmacogenomic (PGx) enrichment or dual-method feature confirmation. Using Virginia All-Payer Claims Database (APCD) data (2016-2019; 6,929,576 patients), we analyzed pre...

Can large language models help in the assessment of people with pain?

Chronic pain (CP) affects an important proportion of the global population, imposing a significant socio-economic burden and serving as a leading cause of disability. While the biopsychosocial approach is the gold standard for treatment, many patients fail to receive adequate care due to healthcare resource constraints. Effective management requires a comprehensive assessment. However, traditional...

Multiscale frequency attention transformer for resolution enhancement in magnetic particle imaging.

BACKGROUND: Magnetic particle imaging (MPI) is an emerging functional imaging modality that enables high-resolution (HR) visualization of superparamag...

Hexagonal Hollow-Core Photonic Crystal Fiber for High-Sensitivity Terahertz Glucose Detection.

Diabetes mellitus is a rapidly escalating global health concern, often leading to severe complications such as neuropathy, vision impairment, vascular...

The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning.

To examine dimensional associations between anxiety- and depression-related symptom severity, pain catastrophizing, and resting-state EEG features in ...

Diagnostic accuracy of image-based deep learning for glaucomatous optic neuropathy detection: a systematic review and meta-analysis.

BACKGROUND: Several studies have explored the use of deep learning (DL) algorithms based on fundus photography (FP) and optical coherence tomography (...

Multimodal Management of Pain in Oral Squamous Cell Carcinoma: A Mechanism-Based Approach.

PURPOSE OF REVIEW: Oral squamous cell carcinoma (OSCC) is frequently associated with severe nociceptive and neuropathic pain that adversely affects pa...

Human-inspired time-series health evaluation with an adaptive multimodal electronic skin.

Electronic skin powered with artificial intelligence could enable next-generation robotic and medical devices, yet integrating multimodal sensors and ...

Evaluating Training Effectiveness for a Technology-Driven Pain Assessment Application: A Cross-Sectional Study.

PURPOSE: Appropriate pain assessment of adults is critical for effective pain management. Technology-driven tools can contribute to improved pain asse...

Imminent opioid overdose risk prediction using classical and machine learning survival models following first recorded opioid-related diagnosis: a prospective cohort study from the All of Us research program.

Background: Identifying patients at risk of opioid overdose in healthcare settings is critical, yet evidence on predictive models and their performanc...

[Development and validation of Cefalytics: an artificial intelligence-based application for the rapid diagnosis of primary headaches].

OBJECTIVE: To design and validate a Spanish-language artificial intelligence-based application to support the diagnosis of primary headaches by non-ex...

From Uniformity to Individuality: Computational Modelling Provides a Mechanistic Rationale for Weight-Adjusted Botulinum Neurotoxin A Dosing.

Fixed-dose Botulinum neurotoxin type A regimens ignore patient-specific variables, such as body weight, despite allometric principles governing the di...

Effect of pilates exercises plus breastfeeding positioning adjustment on artificial intelligence-assessed craniovertebral angle in breastfeeding women with forward head posture: a randomized controlled trial.

Forward head posture (FHP), considered a neuromusculoskeletal disorder, includes those associated with breastfeeding. Pilates is recognized for improv...

MSAFNet: A multi-scale attention fusion network for automated neonatal pain facial expression recognition with clinical validation.

Accurate, timely pain assessment in neonates remains a stubborn yet critical challenge in neonatal intensive care units (NICUs), where conventional ob...

Machine Learning Model for Predicting Suicide Risks Among Patients With Posttraumatic Stress Disorder Who Received Opioids.

BACKGROUND: The cooccurrence of posttraumatic stress disorder (PTSD) and opioid use heightens suicide risk. We aimed to develop and validate a machine...

Stepwise increasing input to machine learning models predicting 30-day AMI or death in emergency department chest-pain patients.

Introduction This study evaluated the performance of neural network (NN) models with stepwise increasing input for identifying acute myocardial infarc...

TinyMem: Condensing Multimodal Memory for Long-Form Video Action Detection.

Despite the great advances in video understanding with deep neural networks, current solutions still struggle with input videos that last for minutes,...

Towards Explainability in Deep Learning for Detection of Five Major Intracranial Hemorrhage Subtypes on Head CT Using Multi-window DICOM Imaging and Patient-Level Cross-Validation.

Intracranial hemorrhage (ICH) is a time-critical neurologic emergency where delayed diagnosis can worsen outcomes. Non-contrast head CT is the first-l...

HFG-Net: High-frequency guided multi-view graph convolution and dynamic spatio-temporal fusion for ASD diagnosis.

Autism Spectrum Disorder (ASD) is a highly heterogeneous neurodevelopmental condition characterized by significant inter-subject variability in electr...

Pilot Evaluation of a Novel Artificial Intelligence (AI) Heart Rate Variability (HRV)-Guided Risk Stratification for Chest Pain in the Emergency Department: A Randomized Controlled Trial.

BACKGROUND: Heart rate variability (HRV) analysis powered by artificial intelligence (AI) offers a rapid, non-invasive, and objective approach for acu...