Pain Management

Latest AI and machine learning research in pain management for healthcare professionals.

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TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images.

Deep learning architectures based on convolutional neural network (CNN) and Transformer have achieve...

Voluntary postural sway control and mobility in adults with low back pain.

INTRODUCTION: Low back pain (LBP) is associated with altered somatosensory perception, which is invo...

Modelling phenomenological differences in aetiologically distinct visual hallucinations using deep neural networks.

Visual hallucinations (VHs) are perceptions of objects or events in the absence of the sensory stimu...

Deep learning for automatic organ and tumor segmentation in nanomedicine pharmacokinetics.

: Multimodal imaging provides important pharmacokinetic and dosimetry information during nanomedicin...

Effect of Intravenous Injection of Magnesium Sulphate on Intraoperative End-Tidal CO Level and Postoperative Pain in Laparoscopic Cholecystectomy.

BACKGROUND: Pain control and stabilizing hemodynamic indices are serious medical challenges, especia...

Prevalence of JC Polyomavirus in Patients with Neuroinvasive Disease of Unknown Etiology in Croatia.

: John Cunningham polyomavirus (JCPyV) is a highly prevalent virus in the human population. The prev...

Antinociceptive Effects of Cannabichromene (CBC) in Mice: Insights from von Frey, Tail-Flick, Formalin, and Acetone Tests.

contains minor cannabinoids that have potential therapeutic value in pain management. However, deta...

MSCT-UNET: multi-scale contrastive transformer within U-shaped network for medical image segmentation.

Automatic mutli-organ segmentation from anotomical images is essential in disease diagnosis and trea...

Artificial intelligence model predicting postoperative pain using facial expressions: a pilot study.

PURPOSE: This study aimed to assess whether an artificial intelligence model based on facial express...

Portable Multi-focal Visual Evoked Potential Diagnostics for Multiple Sclerosis/Optic Neuritis patients.

PURPOSE: Multiple Sclerosis (MS) is a neuro-inflammatory disease of the Central Nervous System (CNS)...

Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak.

Loktak Lake, one of the largest freshwater lakes in Manipur, India, is critical for the eco-hydrolog...

ExoMechHand prototype development and testing with EMG signals for hand rehabilitation.

Rehabilitation is a major requirement to improve the quality of life and mobility of patients with d...

A cellular automata model coupled with partitioning CNN-LSTM and PLUS models for urban land change simulation.

Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban LUC is cruc...

We asked Chat GPT to describe brain fog in chronic pain: What did we learn?

Chat GPT is a modern artificial intelligence program: its recent introduction has created controvers...

Evaluation of Gabapentin and Pregabalin Use in Hospitalized Patients With Decreased Kidney Function.

Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients ...

Electricity energy dataset "BanE-16": Analysis of peak energy demand with environmental variables for machine learning forecasting.

The "BanE-16" dataset is a comprehensive repository integrating electricity grid dynamics with meteo...

Artificial intelligence in glaucoma detection using color fundus photographs.

PURPOSE: To explore the potential of artificial intelligence (AI) for glaucoma detection using deep ...

Artificial intelligence in neuro-oncology.

Artificial intelligence (AI) describes the application of computer algorithms to the solution of pro...

Prediction model of subacromial pain syndrome in assembly workers using shoulder range of motion and muscle strength based on support vector machine.

Subacromial pain syndrome (SAPS) is the most common upper-extremity musculoskeletal problem among wo...

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