Pain Management

Machine learning-based prediction model for paresthesia improvement after open carpal tunnel release: a preliminary study.

BACKGROUND: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy of the hand. While carpal tunnel release surgery generally provides good outcomes, some patients continue to experience persistent paresthesia postoperatively. This study aimed to develop a machine learning-based prediction model for paresthesia improvement following carpal tunnel surgery. METHODS: We retrospectively...

A prospective multimethod investigation of cancer-related pain integrating clinical data and machine learning: results from the RUGGI Study.

BACKGROUND: Cancer-related pain is a multidimensional phenomenon, and key determinants of pain intensity remain unclear. The aim of this study was to identify the clinical determinants of cancer-related pain intensity using a convergent, multimethod analytical framework. METHODS: Prospective observational study of patients with cancer-related pain. Pain was assessed using a 0-10 numeric rating sca...

Risk and protective factors in addictive behaviors: Integrating artificial intelligence and traditional analytical methods to assess social and psychological determinants.

PURPOSE OF REVIEW: Addictive behaviors, including both substance use disorders and behavioral addictions, arise from complex interactions among biolog...

Attention-based Multimodal Spatiotemporal Enhanced Interaction Network For Major Depressive Disorder Detection.

Although deep learning models have shown promising results in detecting major depressive disorder (MDD), two main limitations remain: insufficient exp...

Magnetic Resonance Neurography: Evolution, Technical Foundations, and Future Directions.

ABSTRACT: In the past 20 years, magnetic resonance neurography has evolved from an experimental technique into an essential diagnostic pillar for peri...

Deep Learning-Based Identification of Surgical Candidacy for Cervical Spinal Cord Decompression.

BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical spine imaging. The present study aims to identify...

The complexity of pain in osteoarthritis.

Chronic pain is the hall-mark symptom of osteoarthritis (OA) and although several therapies are available, a sizeable number of patients do not gain a...

End-to-End Image Compression With Segmentation Guided Dual Coding for Wind Turbines.

Transferring large volumes of high-resolution images during wind turbine inspections introduces a bottleneck in assessing and detecting severe defects...

Multi-directional State Space Modeling for Deciphering Spatial Domains From Spatially Resolved Transcriptomics.

Spatially resolved transcriptomics (SRT) enables the investigation of tissue architecture by mapping gene expression within its spatial context. Howev...

A cross-sectional protocol for experimental tongue high-density surface electromyography to detect and classify radiation-associated hypoglossal neuropathy.

BACKGROUND: Hypoglossal neuropathy is the most common lower cranial neuropathy detected as a delayed sequelae of Human Papillomavirus (HPV) -driven or...

Functional evaluation in adult spinal deformity can be reduced to 3 key kinematic parameters that can sufficiently predict health-related quality of life outcomes: an observational prospective study.

BACKGROUND CONTEXT: Recently, functional evaluation using 3D gait analysis (3DGA) proved to predict health-related quality-of-life (HRQOL) scores bett...

Pfirrmann Grading and Features of Internal Derangement Identified in Discs Studied By Lumbar Discography in Patients with Chronic Low Back Pain.

BACKGROUND AND PURPOSE: Lumbar disc degeneration Pfirrmann Grade (PfGr) is commonly used to evaluate clinical studies assessing patient outcomes or ev...

Modulating empathy with tDCS: dissociable roles of rTPJ and lDLPFC.

BACKGROUND: Empathy relies on distinct but interacting processes for representing others' states and regulating self-oriented affect. Neuroimaging stu...

Single-molecule localization and diffusivity microscopy reveals dynamic biomolecular organization in living cells.

Single-molecule tracking in living cells measures protein diffusivity but requires sparse imaging, limiting high-density mapping. Here we introduce si...

Development and validation of the Lebanese Social Media Dependency Scale (LSMDS): A cross-sectional study among university students.

BACKGROUND: Social media use has become pervasive among university students worldwide, with growing evidence linking excessive use to negative psychol...

Evaluation and enhancement of suspected opioid overdose definitions in emergency medical services data using machine learning with natural language processing.

BACKGROUND: Fatal and non-fatal drug overdoses have evolved into a critical public health crisis, with over a 50% increase in the rate of fatal drug o...

Current and emerging therapies for knee osteoarthritis: From conventional approaches to machine learning and stem cell innovations.

Osteoarthritis is characterized by cartilage degradation and joint distortion. The most prevalent version of osteoarthritis, knee osteoarthritis (KOA)...

Algometric assessment of sensitization and habituation as predictive markers for OnabotulinumtoxinA response in chronic migraine.

BACKGROUND: Chronic migraine is a debilitating disorder characterized by central sensitization and impaired habituation. Although OnabotulinumtoxinA (...

Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.

Alzheimer's disease neuropathological changes (ADNC)-operationalized with semi-quantitative parameters-represent the consensus-based gold standard for...

DCSwinLSTM for spatiotemporal meteorological drought forecasting.

Meteorological drought prediction is critical for early warning and climate-risk management; yet, modeling regional drought evolution across multi-tim...