Pain Management

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

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Long-term outcome in biopsy-proven acute interstitial nephritis treated with steroids.

There are no prospective randomized controlled trials describing the outcome of acute interstitial ...

Surgical Site Infiltration for Abdominal Surgery: A Novel Neuroanatomical-based Approach.

BACKGROUND: Provision of optimal postoperative analgesia should facilitate postoperative ambulation ...

Partial displacement of epidural catheter after patient position change: A case report.

Epidural catheter migration is a well-known cause of failed anesthesia and complications. One of the...

Short Term Analgesic Effects of 5% Dextrose Epidural Injections for Chronic Low Back Pain: A Randomized Controlled Trial.

BACKGROUND: Hypertonic dextrose injection (prolotherapy) is reported to reduce pain including non-su...

Comparison of Intraabdominal and Trocar Site Local Anaesthetic Infiltration on Postoperative Analgesia After Laparoscopic Cholecystectomy.

OBJECTIVE: This study aimed to compare the efficacy of local anaesthetic infiltration to trocar woun...

Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation.

As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative i...

Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors.

Occupational musculoskeletal disorders, particularly chronic low back pain (LBP), are ubiquitous due...

Robotic Pancreaticoduodenectomy: Single-Surgeon Initial Experience.

Minimally invasive surgery has gained increasing acceptance over the last few years, which has expan...

Physicochemical stability of oxycodone-ketamine solutions in polypropylene syringe and polyvinyl chloride bag for patient-controlled analgesia use.

OBJECTIVES: The study evaluated the stability of three combinations of oxycodone and ketamine dilute...

Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach.

BACKGROUND: Neuroimaging studies have yielded significant advances in the understanding of neural pr...

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data.

Machine learning approaches have been widely used for the identification of neuropathology from neur...

Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning.

INTRODUCTION: Nonmedical use of prescription medications/drugs (NMUPD) is a serious public health th...

Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.

Problematic internet use is common, functionally impairing, and in need of further study. Its relati...

Biomedical event trigger detection by dependency-based word embedding.

BACKGROUND: In biomedical research, events revealing complex relations between entities play an impo...

Event Recognition Based on Deep Learning in Chinese Texts.

Event recognition is the most fundamental and critical task in event-based natural language processi...

Ten problems and solutions when predicting individual outcome from lesion site after stroke.

In this paper, we consider solutions to ten of the challenges faced when trying to predict an indivi...

Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.

BACKGROUND: Neuropathy often occurs following drug treatment such as chemotherapy. Severe instances ...

Representing higher-order dependencies in networks.

To ensure the correctness of network analysis methods, the network (as the input) has to be a suffic...

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