Pain Management

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

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Progressive Multiple Sclerosis Transcriptome Deconvolution Indicates Increased M2 Macrophages in Inactive Lesions.

Accumulating evidence suggests M2 macrophages contribute to tissue reparation and limit inflammation...

Aug 2020 32862178
Computer Kinesiology: New Diagnostic and Therapeutic Tool for Lower Back Pain Treatment (Pilot Study).

The aim of this study was to demonstrate the effectiveness of the diagnostic and therapeutic medical...

Aug 2020 32908878
The Bayesian brain in imbalance: Medial, lateral and descending pathways in tinnitus and pain: A perspective.

Tinnitus and pain share similarities in their anatomy, pathophysiology, clinical picture and treatme...

Aug 2020 33931186
Pain intensity estimation based on a spatial transformation and attention CNN.

Models designed to detect abnormalities that reflect disease from facial structures are an emerging ...

Aug 2020 32822348
Machine learning-based automated classification of headache disorders using patient-reported questionnaires.

Classification of headache disorders is dependent on a subjective self-report from patients and its ...

Aug 2020 32820214
The FUTUREPAIN study: Validating a questionnaire to predict the probability of having chronic pain 7-10 years into the future.

OBJECTIVES: The FUTUREPAIN study develops a short general-purpose questionnaire, based on the biopsy...

Aug 2020 32817710
Decentralized convolutional neural network for evaluating spinal deformity with spinopelvic parameters.

Low back pain which is caused by the abnormal spinal alignment is one of the most common musculoskel...

Aug 2020 32805697
Artificial intelligence and deep learning in glaucoma: Current state and future prospects.

Over the past few years, there has been an unprecedented and tremendous excitement for artificial in...

Aug 2020 32988472
Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.

Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead el...

Aug 2020 32769990
Investigation of MDMA Inhibitory Effect on CytochromeP450 3A4 in Isolated Perfused Rat Liver Model Using Tramadol.

MDMA (methylenedioxymethamphetamine) is a synthetic compound, which is a structurally derivative of...

Aug 2020 34513628
Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory.

BACKGROUND: Transdermal biosensors offer a noninvasive, low-cost technology for the assessment of al...

Aug 2020 32853998
Prospective Nonrandomized Comparison Between Open and Robot-Assisted Kidney Transplantation: Analysis of Midterm Functional Outcomes.

To compare short- and midterm outcomes of the first 55 patients undergoing robot-assisted kidney tr...

Jul 2020 32600060
Machine learning approach to predict postoperative opioid requirements in ambulatory surgery patients.

Opioids play a critical role in acute postoperative pain management. Our objective was to develop ma...

Jul 2020 32735604
Modeling motivation for alcohol in humans using traditional and machine learning approaches.

Given the significant cost of alcohol use disorder (AUD), identifying risk factors for alcohol seeki...

Jul 2020 32725863
Ontological model of multi-agent Smart-system for predicting drug properties based on modified algorithms of artificial immune systems.

BACKGROUND: Currently, due to the huge progress in the field of information technologies and compute...

Jul 2020 32669115
Predictors of emergency department opioid administration and prescribing: A machine learning approach.

INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acut...

Jul 2020 33071093
Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

BACKGROUND: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare ...

Jul 2020 32680545
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study.

OBJECTIVE: To develop and validate a machine-learning algorithm to improve prediction of incident OU...

Jul 2020 32678860
Robotic Versus Open Ureteroneocystostomy: Is There a Robotic Benefit?

We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...

Jul 2020 32423300
Non-Invasive Estimation of Intracranial Pressure by Diffuse Optics: A Proof-of-Concept Study.

Intracranial pressure (ICP) is an important parameter to monitor in several neuropathologies. Howeve...

Jul 2020 32460617
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