Pain Management

Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

RATIONALE AND OBJECTIVES: To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four health systems.

Bioactive polymeric formulations for wound healing.

Ricinoleic acid (RA) has potential to promote wound healing because of its analgesic and anti-inflammatory properties. This study investigates the synthesis and characterization of RA liposomes infused in a hydrogel for topical application. Lecithin liposomes containing RA were prepared and incorporated into a chitosan solution and were subsequently cross-linked with dialdehyde β-cyclodextrin (Di-...

A hybrid model based on neural networks for biomedical relation extraction.

Biomedical relation extraction can automatically extract high-quality biomedical relations from biomedical texts, which is a vital step for the mining...

Effectiveness of Superficial Radial Nerve Block on Pain, Function and Quality of Life in Patients With Hand Osteoarthritis: A Prospective, Randomized and Controlled Single-Blind Study.

OBJECTIVES: This study aims to investigate the effects of ultrasound-guided superficial branch of the radial nerve block on pain, function and quality...

Successful bystander-administered intranasal naloxone reversal of opioid overdose between two veterans: A case report.

Opioid overdose-related morbidity and mortality remain one of the most pressing public health crises. Overdose education and naloxone distribution hav...

Ongoing brain rhythms shape I-wave properties in a computational model.

BACKGROUND: Responses to transcranial magnetic stimulation (TMS) are notoriously variable. Previous studies have observed a dependence of TMS-induced ...

Thalamocortical dysrhythmia detected by machine learning.

Thalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. It is characterized by a common oscillatory pattern...

Electroencephalographic derived network differences in Lewy body dementia compared to Alzheimer's disease patients.

Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) require differential management despite presenting with symptomatic overlap. Currently, t...

A convolutional neural network to filter artifacts in spectroscopic MRI.

PURPOSE: Proton MRSI is a noninvasive modality capable of generating volumetric maps of in vivo tissue metabolism without the need for ionizing radiat...

Dependency-based Siamese long short-term memory network for learning sentence representations.

Textual representations play an important role in the field of natural language processing (NLP). The efficiency of NLP tasks, such as text comprehens...

A novel triterpenoid 16-hydroxy betulinic acid isolated from attributes multi-faced pharmacological activities.

The aerial parts of extensively used ethnomedicinal plant (Burm. f.) Robinson growing wild in Bangladesh were investigated to isolate and characteriz...

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

PURPOSE: To assess the performance of a deep learning algorithm for detecting referable glaucomatous optic neuropathy (GON) based on color fundus phot...

A cooperation of catheters and guidewires-based novel remote-controlled vascular interventional robot.

Remote-controlled vascular interventional robots (RVIRs) are being developed to increase the overall accuracy of surgical operations and reduce the oc...

Improving Pain Management in Patients with Sickle Cell Disease from Physiological Measures Using Machine Learning Techniques.

Pain management is a crucial part in Sickle Cell Disease treatment. Accurate pain assessment is the first stage in pain management. However, pain is a...

In Schizophrenia, Depression, Anxiety, and Physiosomatic Symptoms Are Strongly Related to Psychotic Symptoms and Excitation, Impairments in Episodic Memory, and Increased Production of Neurotoxic Tryptophan Catabolites: a Multivariate and Machine Learning Study.

The depression, anxiety and physiosomatic symptoms (DAPS) of schizophrenia are associated with negative symptoms and changes in tryptophan catabolite ...

Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning.

OBJECTIVE: Use of opioids for pain management has increased over the past decade; however, inadequate analgesic response is common. Genetic variabilit...

Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG.

Needle electromyography can be used to detect the number of changes and morphological changes in motor unit potentials of patients with axonal neurop...

Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

BACKGROUND: Pain in response to noxious cold has a complex molecular background probably involving several types of sensors. A recent observation has ...

Effects of Methadone Maintenance Therapy on Thyroid Function of Adult Men.

One of the major challenges in methadone maintenance therapy (MMT) for drug dependence is the physiological side effects on endocrine hormones. Becaus...

Palliative analgesia with topical sevoflurane in cancer-related skin ulcers: a case report.

A Caucasian 39-year-old male patient with a poorly-differentiated infiltrating epidermoid penile carcinoma with urethral invasion was diagnosed. The p...