Pain Management

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

PURPOSE: Percutaneous spinal needle insertion procedures often require proper identification of the vertebral level to effectively and safely deliver analgesic agents. The current clinical method involves "blind" identification of the vertebral level through manual palpation of the spine, which has only 30% reported accuracy. Therefore, there is a need for better anatomical identification prior to...

Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request.

BACKGROUND: The Drug Ontology (DrOn) is an OWL2-based representation of drug products and their ingredients, mechanisms of action, strengths, and dose forms. We originally created DrOn for use cases in comparative effectiveness research, primarily to identify historically complete sets of United States National Drug Codes (NDCs) that represent packaged drug products, by the ingredient(s), mechanis...

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 the individuals, but also lead to tragedies in som...

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 inhibitors prolong the action of glucagon-like pep...

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 with the class of the object it belongs to. Deep co...

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-inflammatory drug (NSAID), ibuprofen (Ibu), is tethered...

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

BACKGROUND: To assess the effectiveness of continuous preperitoneal wound infusion of local anesthetic drug bupivacaine in providing pain relief, redu...

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 nephritis (AIN) treated with steroids, and retrosp...

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

BACKGROUND: Provision of optimal postoperative analgesia should facilitate postoperative ambulation and rehabilitation. An optimal multimodal analgesi...

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 factors that affect catheter movement is when pat...

Comparison of ropivacaine with and without fentanyl vs bupivacaine with fentanyl for postoperative epidural analgesia in bilateral total knee replacement surgery.

STUDY OBJECTIVES: Pain after total knee replacement (TKR) interferes with early rehabilitation. Although the use of epidural bupivacaine in post-TKR p...

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-surgical chronic low back pain (CLBP), and subcutane...

Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain.

BACKGROUND: Phantom limb pain is a debilitating condition for which no effective treatment has been found. We hypothesised that re-engagement of centr...

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 wounds and intraperitoneally on postoperative pain as ...

Quantitative structure-retention relationship model for the determination of naratriptan hydrochloride and its impurities based on artificial neural networks coupled with genetic algorithm.

Mathematical modeling of Quantitative Structure - Property Relationships met great interest in fields of in silico drug design and more recently, phar...

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 impact on the quality of life due to its symptoms 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 to prolonged static sitting or nonergonomic sitti...

Robotic Pancreaticoduodenectomy: Single-Surgeon Initial Experience.

Minimally invasive surgery has gained increasing acceptance over the last few years, which has expanded to pancreaticoduodenectomy. Laparoscopic pancr...

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 diluted in normal saline (NS) after storage for 7 days a...

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 processes relevant to the development and persistenc...