Pain Management

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

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Physicochemical property based computational scheme for classifying DNA sequence elements of Saccharomyces cerevisiae.

GenerationE of huge "omics" data necessitates the development and application of computational metho...

Local Infiltration Analgesia With Liposomal Bupivacaine Improves Early Outcomes After Total Knee Arthroplasty: 24-Hour Data From the PILLAR Study.

BACKGROUND: Enhanced postoperative care pathways have shifted total knee arthroplasty (TKA) to outpa...

Ceftaroline Fosamil as an Alternative for a Severe Methicillin-resistant Staphylococcus aureus Infection: A Case Report.

Bacteremia secondary to methicillin-resistant Staphylococcus aureus (MRSA) is a dreaded medical cond...

Knowledge-based dose prediction models for head and neck cancer are strongly affected by interorgan dependency and dataset inconsistency.

PURPOSE: The goal of this study was to generate a large treatment plan database for head and neck (H...

The short-term efficacy of intravesical instillation of hyaluronic acid treatment for bladder pain syndrome/interstitial cystitis.

OBJECTIVE: The aim of the study was to evaluate the short term efficacy of intravesical instillation...

An Objective Assessment of the Effect of Anesthetizing the Median Nerve on Lameness Caused by Pain in the Cubital Joint.

The median nerve, along with the ulnar nerve, is often anesthetized when performing a lameness exami...

Quantitative analysis of desomorphine in blood and urine using solid phase extraction and gas chromatography-mass spectrometry.

Desomorphine, a semi-synthetic opioid, is a component of the street drug Krokodil. Despite continued...

Pain management after total knee arthroplasty: A prospective randomized study.

INTRODUCTION: Total knee arthroplasty (TKA) is a common procedure for improving mobility and quality...

Cubital Tunnel Decompression: Equivalent Outcome Scores when Procedure Performed with Local versus General Anesthetic.

Ulnar nerve compression at the cubital tunnel is the second commonest upper limb neuropathy. Unlike...

Antemortem CSF A42/A40 ratio predicts Alzheimer's disease pathology better than A42 in rapidly progressive dementias.

OBJECTIVE: Despite the critical importance of pathologically confirmed samples for biomarker validat...

Study protocol for a randomised controlled trial of humanoid robot-based distraction for venipuncture pain in children.

INTRODUCTION: Intravenous insertion (IVI) is a very common procedure in the emergency department (ED...

Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support.

Immunizations are one of the most cost-effective interventions for preventing morbidity and mortalit...

Investigating a Needle-Based Epidural Procedure in Obstetric Anesthesia.

This study investigates the safety and efficacy of a large-dose, needle-based epidural technique in ...

What does a pain 'biomarker' mean and can a machine be taught to measure pain?

Artificial intelligence allows machines to predict human faculties such as image and voice recogniti...

Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.

Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...

Forecasting the spatiotemporal variability of soil CO emissions in sugarcane areas in southeastern Brazil using artificial neural networks.

Carbon dioxide (CO) is considered one of the main greenhouse effect gases and contributes significan...

Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods.

BACKGROUND: Measuring and predicting pain volatility (fluctuation or variability in pain scores over...

Machine Learning Distinguishes with High Accuracy between Pan-Assay Interference Compounds That Are Promiscuous or Represent Dark Chemical Matter.

Assay interference compounds give rise to false-positives and cause substantial problems in medicina...

Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs.

The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON) in fundus...

A computational strategy for finding novel targets and therapeutic compounds for opioid dependence.

Opioids are widely used for treating different types of pains, but overuse and abuse of prescription...

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