Pain Management

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

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Measuring context dependency in birdsong using artificial neural networks.

Context dependency is a key feature in sequential structures of human language, which requires refer...

Comparison of Intraperitoneal Bupivacaine and Intravenous Ketorolac for Postoperative Pain Management Following Laparoscopic Cholecystectomy.

BACKGROUND: Postoperative pain following laparoscopic cholecystectomy (LC) arises from incision site...

Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning.

Pain assessment in children continues to challenge clinicians and researchers, as subjective experie...

Using machine learning to model nontraditional spatial dependence in occupancy data.

Spatial models for occupancy data are used to estimate and map the true presence of a species, which...

Postoperative Multimodal Pain Management and Opioid Consumption in Arthroscopy Clinical Trials: A Systematic Review.

PURPOSE: To provide an updated review of multimodal pain management in arthroscopic surgery by evalu...

Computer mediated automatic detection of pain-related behavior: prospect, progress, perils.

Pain is often characterized as a fundamentally subjective phenomenon; however, all pain assessment r...

Predicting anesthetic infusion events using machine learning.

Recently, research has been conducted to automatically control anesthesia using machine learning, wi...

Process performance of a new liquid medication dispensing robot.

OBJECTIVES: Liquid medications provide an alternative to splitting pills and dosages by measuring an...

Preclinical Evaluation of a New ECCO2R Setup.

Low flow extracorporeal carbon dioxide removal (ECCO2R) is a promising approach to correct hypercapn...

A Comparison of Natural Language Processing Methods for the Classification of Lumbar Spine Imaging Findings Related to Lower Back Pain.

RATIONALE AND OBJECTIVES: The use of natural language processing (NLP) in radiology provides an oppo...

A lightweight double-channel depthwise separable convolutional neural network for multimodal fusion gait recognition.

Gait recognition is an emerging biometric technology that can be used to protect the privacy of wear...

ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor Segmentation.

Accurate and reliable segmentation of colorectal tumors and surrounding colorectal tissues on 3D mag...

ResGANet: Residual group attention network for medical image classification and segmentation.

In recent years, deep learning technology has shown superior performance in different fields of medi...

Feasibility study protocol of the PainChek app to assess the efficacy of a social robot intervention for people with dementia.

AIM: This study aims to test the feasibility of the PainChek app to assess pain for people with deme...

Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment.

Electroencephalogram (EEG)-based quantitative pain measurement is valuable in the field of clinical ...

Non-human primate epidural ECoG analysis using explainable deep learning technology.

With the development in the field of neural networks,(XAI), is being studied to ensure that artifici...

Ultrasound-guided quadratus lumborum block for perioperative analgesia in robot-assisted partial nephrectomy: a randomized controlled trial.

BACKGROUND: Recently, several case reports and limited randomized studies have shown that quadratus ...

Toward personalized medicine for pharmacological interventions in neonates using vital signs.

Vital signs, such as heart rate and oxygen saturation, are continuously monitored for infants in neo...

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