Pain Management

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

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Integration of Anatomy Ontologies and Evo-Devo Using Structured Markov Models Suggests a New Framework for Modeling Discrete Phenotypic Traits.

Modeling discrete phenotypic traits for either ancestral character state reconstruction or morpholog...

Implementation of a Tool for the Assessment of the Frail Elderly in a Robotic Agent.

The concern for aging, chronic illness, and dependence is relevant in today's society. The Nursing d...

Method for Muscle Tone Monitoring During Robot-Assisted Therapy of Hand Function: A Proof of Concept.

Robot-assisted rehabilitation of hand function is becoming an established approach to complement con...

Assessment of human wrist rigidity and pain in post-traumatic patients.

The aim of this work is to present a novel robot-based method to assess the sources of a lack of fun...

Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.

OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal...

Socially Assistive Robots for Helping Pediatric Distress and Pain: A Review of Current Evidence and Recommendations for Future Research and Practice.

OBJECTIVES: Interacting with socially assistive robots (SAR) has been shown to influence human behav...

A neurocognitive investigation of the impact of socializing with a robot on empathy for pain.

To what extent can humans form social relationships with robots? In the present study, we combined f...

Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics.

Although self-report pain ratings are the gold standard in clinical pain assessment, they are inhere...

Whole-brain structural magnetic resonance imaging-based classification of primary dysmenorrhea in pain-free phase: a machine learning study.

To develop a machine learning model to investigate the discriminative power of whole-brain gray-matt...

The Effectiveness of the Game of Dice Task in Predicting At-Risk and Problem Gambling Among Adolescents: The Contribution of the Neural Networks.

The Game of Dice Task (GDT; Brand et al. in Neuropsychology 19:267-277, 2005a; Psychiatry Res 133:91...

Assessment of computer-controlled local anesthetic delivery system for pain control during restorative procedures: A randomized controlled trial.

. Local anesthesia is given to decrease pain perception during dental treatments, but it may itself...

Extraction of chemical-protein interactions from the literature using neural networks and narrow instance representation.

The scientific literature contains large amounts of information on genes, proteins, chemicals and th...

Dexamethasone Versus Ketamine in the Interscalene Block in Patients Undergoing Arthroscopic Shoulder Surgery: A Randomized Double-Blinded Study.

OBJECTIVE: Arthroscopic shoulder surgery (ASS) is often followed by severe pain. Interscalene brachi...

Machine learning methods for automatic pain assessment using facial expression information: Protocol for a systematic review and meta-analysis.

INTRODUCTION: Prediction of pain using machine learning algorithms is an emerging field in both comp...

Neural mechanisms supporting the relationship between dispositional mindfulness and pain.

Interindividual differences in pain sensitivity vary as a function of interactions between sensory, ...

[Robot assisted sacroiliac screw placement with a modified method of screw path planning].

To introduce a robot-assisted modified method of sacroiliac screw path planning in order to reduce ...

Multivariate machine learning distinguishes cross-network dynamic functional connectivity patterns in state and trait neuropathic pain.

Communication within the brain is dynamic. Chronic pain can also be dynamic, with varying intensitie...

Automated Pain Detection in Facial Videos of Children using Human-Assisted Transfer Learning.

Accurately determining pain levels in children is difficult, even for trained professionals and pare...

Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks.

Pain is usually measured by patient's self-report, which requires patient collaboration. Hence, the ...

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