Pain Management

Microclimates, land cover, and socioeconomic vulnerability shape Anopheles hotspots in Maryland, USA.

BACKGROUND: Anopheles mosquitoes pose notable public health concerns as competent vectors of malaria and other diseases. Although malaria is no longer endemic in the United States, recent locally acquired cases in states including Maryland highlight the need to better understand Anopheles dynamics in the region. This study aimed to identify geographic hotspots of Anopheles presence in Maryland and...

Lateralized effects of vagus nerve stimulation on cortical spreading depression: insights from a mouse model.

OBJECTIVES: Vagus nerve stimulation (VNS) is increasingly recognized as a therapeutic approach for neurological disorders, such as epilepsy, migraine, and stroke rehabilitation. However, clinical outcomes vary considerably among individuals, underscoring the importance of elucidating the distinct effects of left versus right VNS. In this study, we aimed to investigate how lateralized VNS influence...

Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization.

Surface water quality forecasting is crucial for pollution early warning and sustainable water resource management. However, accurate prediction of ke...

AI-Assisted detection of corneal nerve structural abnormalities in early diabetic keratopathy: development and validation of a deep learning framework.

To develop a deep learning-based computer-aided diagnostic model for the automated identification of corneal microneuromas from in vivo confocal micro...

Development of prediction models for perioperative opioid needs in laparoscopic cholecystectomy patients: A machine-learning approach.

BACKGROUND: Changes in opioid prescribing practices have evolved, including perioperative settings. However, computerized clinical decision support sy...

Deep Learning-Based Classification of Temporal Stages of AT8-Labeled Tau Pathology After Experimental Traumatic Brain Injury.

Tauopathies are characterised by a progressive accumulation of hyperphosphorylated tau. However, early and intermediate stages remain challenging to q...

Multimodal diagnosis of Parkinson's disease with an internet-based collaborative agent architecture of medical language models.

Parkinson's disease (PD) remains one of the most prevalent neurodegenerative disorders, where delays in diagnosis compromise therapeutic outcomes and ...

Analytical Approaches for the Determination of Lidocaine and Its Metabolites: A Comprehensive Insight.

Lidocaine (LID), an amide-type local anesthetic and antiarrhythmic agent, remains one of the most extensively used drugs in medical, dental, and surgi...

Comparative analysis of machine learning algorithms for predicting stereotactic coordinates of the centromedian nucleus.

OBJECTIVE: Deep brain stimulation (DBS) of the centromedian nucleus (CM) of the thalamus is a promising treatment for drug-resistant epilepsy, Tourett...

MFMINet: Multimodal fusion and cross-layer interaction network for semantic segmentation of high-resolution remote sensing images.

In recent years, semantic segmentation of remote sensing images using deep convolutional neural networks (CNNs) has seen rapid development in fields l...

Japan Brain Bank Net (JBBN).

Autopsies have long been performed to determine the cause of death in the medical field. In fact, autopsies have significantly contributed to our unde...

Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions.

Understanding the spatial variability of precipitation is essential for water resource management and climate adaptation, especially in arid and semi-...

Network reorganisation reveals somato-motor transition from segregation to integration during tonic pain.

The sustained nature of tonic pain makes it a useful experimental analogue for studying the prolonged neural processing involved in chronic pain. Howe...

A legal judgment prediction model based on knowledge fusion and dependency masking.

Legal Judgment Prediction (LJP) is a core task in Legal AI systems, which aims to predict law articles, charges, and term-of-penalty from case facts. ...

ACFSENet: an adaptive cross-frequency global sparse encoding network for end-to-end EEG emotion recognition.

End-to-end EEG-based emotion recognition is attracting increasing attention due to its potential in human-computer interaction, mental health, and aff...

Explainable AI for pain perception: subject-independent EEG decoding using DeepSHAP and CNNs.

Objective.Accurate classification of pain levels is essential for clinical monitoring, particularly in clinical populations with limited verbal commun...

Pain assessment using physiological responses/markers in different types of pain: a scoping review.

Pain is a complex multidimensional experience that integrates sensory and emotional components, presenting significant challenges for accurate assessm...

Neural Decoding of Ultrasound-Modulated Pain States via Deep Learning: Insights from Functional Magnetic Resonance Imaging Data.

Focused ultrasound (FUS) is a noninvasive neuromodulation technique capable of modulating deep-brain circuits with millimeter precision. When combined...

Risk Factors and Prediction of Chronic Postsurgical Pain Among Patients With Distal Lower Extremity Fracture: Cohort Analysis.

BACKGROUND: The surgical interventions aimed at fracture repair are often accompanied by chronic postsurgical pain (CPSP), which is associated with de...

Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study.

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent chronic musculoskeletal disorders among the older adult population. Screening popul...