Pain Management

Identifying gait subgroups in low back pain patients with artificial intelligence: implications for individualized interventions.

PURPOSE: The following study aimed to investigate the existence of different gait profiles in patients with low back pain (LBP) and assess their clinical characteristics.

Regional and whole-brain neurofunctional alterations during pain empathic processing of physical but not affective pain in migraine patients.

BACKGROUND: Accumulating evidence suggests that migraine patients present abnormal brain responses to salient sensory and emotional stimuli. However, it is still unclear whether this is a generalized or domain-specific phenomenon. Employing a well-validated fMRI paradigm, we investigated pain empathic reactivity across two domains: observation of physical pain (noxious stimulation) and affective p...

Patterns of calcitonin gene-related peptide monoclonal antibody use in people with migraine: Results of the OVERCOME (US) study.

BackgroundUnderstanding characteristics and reasons associated with using calcitonin gene-related peptide monoclonal antibodies (CGRP mAb) for migrain...

Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism.

Chinese Medical Named Entity Recognition (CMNER) seeks to identify and extract medical entities from unstructured medical texts. Existing methods ofte...

Surgery for Lumbar Disc Herniation: Surgeon's Clinical Judgment Versus Actual Improvement in Patient Reported Outcomes.

Study DesignLongitudinal Cohort.ObjectivesTo determine if a surgeon's clinical judgment can predict clinical outcomes after surgery for LDH.MethodsSur...

Uncovering Image-Driven Subtypes with Distinct Pathology and Clinical Course in Autopsy-Confirmed Four Repeat Tauopathies.

OBJECTIVES: The four-repeat (4R) tauopathies are a group of neurodegenerative diseases, including progressive supranuclear palsy (PSP), corticobasal d...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated with one another, and associate with viral non-su...

SCATrans: semantic cross-attention transformer for drug-drug interaction predication through multimodal biomedical data.

Predicting potential drug-drug interactions (DDIs) from biomedical data plays a critical role in drug therapy, drug development, drug regulation, and ...

Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation.

Low back pain (LBP) is a leading cause of disability globally. Following the onset of LBP and subsequent treatment, adequate patient education is cruc...

ADC-MambaNet: a lightweight U-shaped architecture with mamba and multi-dimensional priority attention for medical image segmentation.

Medical image segmentation is becoming a growing crucial step in assisting with disease detection and diagnosis. However, medical images often exhibit...

Robotic-assisted gait training for spinal cord injury neuropathic pain: A systematic review.

CONTEXT: Neuropathic pain (NP), can be a debilitating consequence of spinal cord injury. Robotic-assisted gait training (RAGT) is an effective rehabil...

Towards prehospital risk stratification using deep learning for ECG interpretation in suspected acute coronary syndrome.

OBJECTIVES: Most patients presenting with chest pain in the emergency medical services (EMS) setting are suspected of non-ST-elevation acute coronary ...

MTSA-SC: A multi-task learning approach for individual trip destination prediction with multi-trajectory subsequence alignment and space-aware loss functions.

Individual Trip Destination Prediction aims to accurately forecast an individual's future travel destinations by analyzing their historical trajectory...

The application of deep learning in economic analysis and marketing strategy formulation in the tourism industry.

The tourism industry is ever-evolving in nature, as it operates in a global marketplace that has become progressively global and offers great potentia...

MTGNN: A Drug-Target-Disease Triplet Association Prediction Model Based on Multimodal Heterogeneous Graph Neural Networks and Direction-Aware Metapaths.

The forecasting of drug-target interactions (DTIs) is a crucial element in the domain of drug repositioning. Current methodologies, primarily based on...

Effects of the lumbar support function of wearable robot (Bot Fit) on sitting position.

BACKGROUND: Sedentary lifestyles can lead to musculoskeletal disorders, but proper sitting posture, particularly maintaining a slight anterior pelvic ...

Verification and application of deep learning models in daily sports activities of teenagers.

With the development of smart wearable devices and deep learning (DL) technology, the monitoring and analysis of daily sports activities of teenagers ...

Activation of LAMP1-mediated lipophagy by sulforaphane inhibits cellular senescence and intervertebral disc degeneration.

BACKGROUND: Intervertebral disc degeneration (IDD) is a major cause of chronic low back pain, involving lipid dysregulation and cellular senescence in...

Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis.

Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading to complications such as retinopathy, nephropathy,...

Molecular insights into the unique activation and allosteric modulation mechanisms of the human mas-related G-protein-coupled receptor X1.

MRGPRX1 plays dual roles in mediating nociception and pruritus, making it a promising target for alleviating itch and inhibiting pain. However, the me...