Pain Management

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

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Efficacy of Ultrasound-Guided Caudal Epidural Calcitonin for Patients with Failed Back Surgery Syndrome.

CONTEXT: Pain resulting from failed back surgery syndrome (FBSS) is generally resistant to physiothe...

Comparison of Magnesium Sulfate and Ketamine with Ropivacaine in Supraclavicular Brachial Plexus Block: A Randomized Controlled Trial.

BACKGROUND: Supraclavicular brachial plexus block offers good operating conditions with limited post...

Identifying cognitive deficits in cocaine dependence using standard tests and machine learning.

There is a growing need to address the variability in detecting cognitive deficits with standard tes...

Computational Systems Pharmacology-Target Mapping for Fentanyl-Laced Cocaine Overdose.

The United States of America is fighting against one of its worst-ever drug crises. Over 900 people ...

Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings.

Early diagnosis of sacroiliitis may lead to preventive treatment which can significantly improve the...

Macrophage Nitric Oxide and Interleukin-1 Beta Suppression by Seed.

OBJECTIVES: has long been used in folk medicine to treat diseases including fever, headache, burns,...

Deep visual nerve tracking in ultrasound images.

Ultrasound-guided regional anesthesia (UGRA) becomes a standard procedure in surgical operations and...

Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain.

BACKGROUND: For many years, clinicians have been seeking for objective pain assessment solutions via...

Development of machine learning algorithms for prediction of mortality in spinal epidural abscess.

BACKGROUND CONTEXT: In-hospital and short-term mortality in patients with spinal epidural abscess (S...

Block Forests: random forests for blocks of clinical and omics covariate data.

BACKGROUND: In the last years more and more multi-omics data are becoming available, that is, data f...

A Radical Proposition: Opioid-sparing Prostatectomy.

Radical prostatectomy has largely become a procedure requiring a single day in the hospital with imp...

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classi...

A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.

BACKGROUND: Social media use is now ubiquitous, but the growth in social media communications has al...

A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.

In the analysis of functional Near-Infrared Spectroscopy (fNIRS) signals from real-world scenarios, ...

Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty.

BACKGROUND: Postoperative recovery after total hip arthroplasty (THA) can lead to the development of...

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling u...

Physicochemical stability of nefopam and nefopam/droperidol solutions in polypropylene syringes for intensive care units.

INTRODUCTION: Nefopam has been reported to be effective in postoperative pain control with an opioid...

Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network.

Modeling in-vivo protein-DNA binding is not only fundamental for further understanding of the regula...

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