Pain Management

Robot-Assisted Total Pancreatectomy With Autologous Islet Cell Transplantation: Perioperative Nursing Considerations.

Chronic pancreatitis (CP) is an inflammatory disease of the pancreas that causes pain and gastrointestinal problems in patients. Robot-assisted total pancreatectomy with autologous islet cell transplantation (TPAIT) is a surgical procedure for treating patients with CP that has been unresponsive to other treatments. After performing a total pancreatectomy, the surgical team isolates islet cells an...

[Clinical analysis of robot-assisted laparoscopic transabdominal preperitoneal inguinal hernia repair].

To explore the clinical value of robot-assisted laparoscopic transabdominal preperitoneal (TAPP) inguinal hernia repair. We performed a retrospective review of 23 consecutive patients who underwent robotic inguinal hernia repair from January 2018 to December 2019 at Beijing United Family hospital. The patients were all male with mean age 48.8 (17-72) years and BMI 25.8 (21.2-32.6)kg/m(2). Data e...

A combination of machine learning and infrequent metadynamics to efficiently predict kinetic rates, transition states, and molecular determinants of drug dissociation from G protein-coupled receptors.

Determining the drug-target residence time (RT) is of major interest in drug discovery given that this kinetic parameter often represents a better ind...

[Study on the precision of the robot-assisted sacroiliac screw placement].

To evaluate the precision of the robot-assisted sacroiliac screw placement for posterior pelvis injury and the impacting factors. The clinical data ...

Robot-Assisted Instrumented Fusion of a T8-9 Extension Distraction Fracture and Epidural Hematoma Evacuation: 2-Dimensional Operative Video.

The utilization of robotics has been gaining increased popularity in spine surgery. It can be used to assist in pedicle screw insertion when anatomy i...

Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intellig...

[Rapid screening and determination of fentanyl and its analogues in drugs by liquid chromatography- quadrupole time-of-flight mass spectrometry].

A method based on liquid chromatography coupled with high-resolution quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) was developed for the si...

HONEM: Learning Embedding for Higher Order Networks.

Representation learning on networks offers a powerful alternative to the oft painstaking process of manual feature engineering, and, as a result, has ...

Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?

BACKGROUND: Machine-learning methods such as the Bayesian belief network, random forest, gradient boosting machine, and decision trees have been used ...

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.

Deep learning has emerged as a powerful approach to constructing imaging signatures of normal brain ageing as well as of various neuropathological pro...

Emerging Clinical Technology: Application of Machine Learning to Chronic Pain Assessments Based on Emotional Body Maps.

Depression and anxiety co-occur with chronic pain, and all three are thought to be caused by dysregulation of shared brain systems related to emotiona...

Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data.

Effective pain management can significantly improve quality of life and outcomes for various types of patients (e.g. elderly, adult, young) and often ...

Hybrid RNN-ANN Based Deep Physiological Network for Pain Recognition.

Quantitative assessment of pain is vital progress in treatment choosing and distress relief for patients. However, previous approaches based on self-r...

Improved Classification of Medical Data Using Meta-Best Feature Selection.

Feature selection provides a useful method for reducing the size of large data sets while maintaining integrity, thereby improving the accuracy of neu...

Emerging technologies in neuromuscular ultrasound.

Neuromuscular ultrasound is an accepted and valuable element in the evaluation of peripheral nerve and muscle disease. However, ultrasound has several...

An Automated Algorithm Incorporating Poincaré Analysis Can Quantify the Severity of Opioid-Induced Ataxic Breathing.

BACKGROUND: Opioid-induced respiratory depression (OIRD) is traditionally recognized by assessment of respiratory rate, arterial oxygen saturation, en...

Emerging imaging techniques for acute pancreatitis.

Acute pancreatitis (AP) is caused by acute inflammation of the pancreas and adjacent tissue and is a common source of abdominal pain. The current CT a...

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. We investigated neuroanatomical subtypes in a mult...

Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.

Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and ...