Pain Management

Automatic detection of rare pathologies in fundus photographs using few-shot learning.

In the last decades, large datasets of fundus photographs have been collected in diabetic retinopath...

Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs.

PURPOSE: To develop a deep learning approach based on deep residual neural network (ResNet101) for t...

Understanding Opioid Use Disorder (OUD) using tree-based classifiers.

BACKGROUND: Opioid Use Disorder (OUD), defined as a physical or psychological reliance on opioids, i...

Letter to the Editor regarding the article "Comparison of intra- and postoperative analgesia and pain perception in robot-assisted vs. open radical prostatectomy".

Rapid Assessment of Opioid Exposure and Treatment in Cities Through Robotic Collection and Chemical Analysis of Wastewater.

INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding co...

Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.

This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight...

The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance.

BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve resp...

Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.

Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main ...

Structured sequence processing and combinatorial binding: neurobiologically and computationally informed hypotheses.

Understanding how the brain forms representations of structured information distributed in time is a...

Ultrasound-Guided Subclavian Perivascular Brachial Plexus Block Using 0.5% Bupivacaine with Dexmedetomidine as an Adjuvant: A Prospective Randomized Controlled Trial.

BACKGROUND: Ultrasound guidance has dramatically improved the accuracy of nerve localization, and va...

Comparison of Continuous Wound Infusion versus Continuous Epidural Infusion in Upper Abdominal Surgery: Noninferiority Randomized Controlled Trial.

CONTEXT: Wound catheter offers a less invasive alternative for postoperative analgesia in the abdomi...

Crocin exerts improving effects on indomethacin-induced small intestinal ulcer by antioxidant, anti-inflammatory and anti-apoptotic mechanisms.

Crocin is a plant-derived carotenoid and bears potent antioxidant property. Ranitidine (a histamine ...

Current state of science in machine learning methods for automatic infant pain evaluation using facial expression information: study protocol of a systematic review and meta-analysis.

INTRODUCTION: Infants can experience pain similar to adults, and improperly controlled pain stimuli ...

Epidemiological pathology of Aβ deposition in the ageing brain in CFAS: addition of multiple Aβ-derived measures does not improve dementia assessment using logistic regression and machine learning approaches.

Aβ-amyloid deposition is a key feature of Alzheimer's disease, but Consortium to Establish a Registr...

Machine learning: assessing neurovascular signals in the prefrontal cortex with non-invasive bimodal electro-optical neuroimaging in opiate addiction.

Chronic and recurrent opiate use injuries brain tissue and cause serious pathophysiological changes ...

A fluoroscopic assessment of brachial plexus block by the supraclavicular approach: Have we been overmedicating?

BACKGROUND: Ultrasonography-guided supraclavicular brachial plexus block has demonstrated safety as ...

Subgrouping Factors Influencing Migraine Intensity in Women: A Semi-automatic Methodology Based on Machine Learning and Information Geometry.

BACKGROUND: Migraine is a heterogeneous condition with multiple clinical manifestations. Machine lea...

How people with dementia perceive a therapeutic robot called PARO in relation to their pain and mood: A qualitative study.

BACKGROUND: Interacting with social robots, such as the robotic seal PARO, has been shown to improve...

Estimation of Bladder Pressure and Volume from the Neural Activity of Lumbosacral Dorsal Horn Using a Long-Short-Term-Memory-based Deep Neural Network.

In this paper, we propose a deep recurrent neural network (DRNN) for the estimation of bladder press...

Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.

A deep learning classifier for detecting seizures in neonates is proposed. This architecture is desi...

Comparison of bupivacaine alone and in a combination with lidocaine for caudal block in patients undergoing circumcision: A historical cohort study.

OBJECTIVE: Optimal analgesia following ambulatory surgery is an important matter in patient satisfac...