Pain Management

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

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Showing 1429-1449 of 7,792 articles
Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems.

PURPOSE: We sought to assess the performance of deep learning approaches for differentiating nonglau...

Apr 2020 32247778
Predicting alcohol dependence treatment outcomes: a prospective comparative study of clinical psychologists versus 'trained' machine learning models.

BACKGROUND AND AIMS: Clinical staff are typically poor at predicting alcohol dependence treatment ou...

Mar 2020 32150316
Robot-Assisted Radical Prostatectomy Associated with Decreased Persistent Postoperative Opioid Use.

Minimally invasive surgery offers reduced pain and opioid use postoperatively compared with open su...

Mar 2020 32066277
Effects of Robot-Assisted Gait Training in Individuals with Spinal Cord Injury: A Meta-analysis.

BACKGROUND: To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain...

Mar 2020 32280681
Machine Learning Diagnostic Modeling for Classifying Fibromyalgia Using B-mode Ultrasound Images.

Fibromyalgia (FM) diagnosis remains a challenge for clinicians due to a lack of objective diagnostic...

Mar 2020 32174253
Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.

Opioid addiction in the United States has come to national attention as opioid overdose (OD) related...

Mar 2020 32308832
The Effect of Using PARO for People Living With Dementia and Chronic Pain: A Pilot Randomized Controlled Trial.

OBJECTIVES: To evaluate the effect of interaction with a robotic seal (PARO) on pain and behavioral ...

Feb 2020 32122797
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides.

Antiviral peptides (AVPs) have been experimentally verified to block virus into host cells, which ha...

Feb 2020 32142462
Discriminating glaucomatous and compressive optic neuropathy on spectral-domain optical coherence tomography with deep learning classifier.

BACKGROUND/AIMS: To assess the performance of a deep learning classifier for differentiation of glau...

Feb 2020 32098860
Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks.

Electroencephalogram (EEG) microstates that represent quasi-stable, global neuronal activity are con...

Feb 2020 32090423
Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.

OBJECTIVE: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective function...

Feb 2020 32072271
Assessment of knee pain from MR imaging using a convolutional Siamese network.

OBJECTIVES: It remains difficult to characterize the source of pain in knee joints either using radi...

Feb 2020 32055951
On the localness modeling for the self-attention based end-to-end speech synthesis.

Attention based end-to-end speech synthesis achieves better performance in both prosody and quality ...

Feb 2020 32088566
The Prediction of Human Abdominal Adiposity Based on the Combination of a Particle Swarm Algorithm and Support Vector Machine.

: Abdominal adiposity is an important risk factor of chronic cardiovascular diseases, thus the predi...

Feb 2020 32050578
Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments.

BACKGROUND: Persistent pain in breast cancer survivors is common. Psychological and sleep-related fa...

Feb 2020 32066081
Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data.

Sickle cell disease (SCD) is a red blood cell disorder complicated by lifelong issues with pain. Man...

Feb 2020 32793402
Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks.

The objective is to test automated estimation of active and passive skeletal muscle states using ul...

Jan 2020 31992165
Automatic detection of rare pathologies in fundus photographs using few-shot learning.

In the last decades, large datasets of fundus photographs have been collected in diabetic retinopath...

Jan 2020 32028213
Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs.

PURPOSE: To develop a deep learning approach based on deep residual neural network (ResNet101) for t...

Jan 2020 31989285
Understanding Opioid Use Disorder (OUD) using tree-based classifiers.

BACKGROUND: Opioid Use Disorder (OUD), defined as a physical or psychological reliance on opioids, i...

Jan 2020 31962227
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