Pain Management

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

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Technologically-advanced assessment of upper-limb spasticity: a pilot study.

BACKGROUND: Spasticity is a muscle disorder associated with upper motor neuron syndrome occurring in...

Spinal cord infarction following epidural and general anesthesia: a case report.

BACKGROUND: Epidural anesthesia is widely used for postoperative analgesia and rarely causes permane...

Leveraging syntax to better capture the semantics of elliptical coordinated compound noun phrases.

Full-text scientific articles are increasingly available, but capturing the meaning conveyed within ...

Effect of Midazolam and Dexmedetomidine Sedation on the Onset and Duration of Supraclavicular Brachial Plexus Block: A Randomised Comparative Study.

OBJECTIVE: Prolonging the duration of sensory blockade with bupivacaine following supraclavicular br...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which deve...

Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.

BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to ...

A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms.

. Guillain-Barré Syndrome (GBS) is a potentially fatal autoimmune neurological disorder. The severit...

Use of a machine learning framework to predict substance use disorder treatment success.

There are several methods for building prediction models. The wealth of currently available modeling...

SLIDE: automatic spine level identification system using a deep convolutional neural network.

PURPOSE: Percutaneous spinal needle insertion procedures often require proper identification of the ...

Probability matching in perceptrons: Effects of conditional dependence and linear nonseparability.

Probability matching occurs when the behavior of an agent matches the likelihood of occurrence of ev...

How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information.

It is believed that anomalous mental states such as stress and anxiety not only cause suffering for ...

Predicting DPP-IV inhibitors with machine learning approaches.

Dipeptidyl peptidase IV (DPP-IV) is a promising Type 2 diabetes mellitus (T2DM) drug target. DPP-IV ...

Object class segmentation of RGB-D video using recurrent convolutional neural networks.

Object class segmentation is a computer vision task which requires labeling each pixel of an image w...

Design, preparation and characterization of pH-responsive prodrug micelles with hydrolyzable anhydride linkages for controlled drug delivery.

We report a new prodrug micelle-based approach in which a model hydrophobic non-steroidal anti-infla...

Effectiveness of continuous wound infusion of local anesthetics after abdominal surgeries.

BACKGROUND: To assess the effectiveness of continuous preperitoneal wound infusion of local anesthet...

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