AIMC Topic: Pain

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The Analysis of Pain Research through the Lens of Artificial Intelligence and Machine Learning.

Pain physician
BACKGROUND: Traditional pain assessment methods have significant limitations due to the high variability in patient reported pain scores and perception of pain by different individuals. There is a need for generalized and automatic pain detection and...

The effect of mirror therapy can be improved by simultaneous robotic assistance.

Restorative neurology and neuroscience
BACKGROUND: Standard mirror therapy (MT) is a well-established therapy regime for severe arm paresis after acquired brain injury. Bilateral robot-assisted mirror therapy (RMT) could be a solution to provide visual and somatosensory feedback simultane...

Shedding light on pain for the clinic: a comprehensive review of using functional near-infrared spectroscopy to monitor its process in the brain.

Pain
Pain is a complex experience that involves sensation, emotion, and cognition. The subjectivity of the traditional pain measurement tools has expedited the interest in developing neuroimaging techniques to monitor pain objectively. Among noninvasive n...

The quantification and clinical analysis of depression and anxiety in patients undergoing Da Vinci robot-assisted radical gastrectomy and open radical gastrectomy.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
The purpose of paper is to investigate the depression and anxiety as well as independent influential factors between patients who underwent Da Vinci robot-assisted radical gastrectomy and radical gastrectomy. This study is a partially randomized pati...

Children's Pain During IV Induction: A Randomized-Controlled Trial With the MEDi® Robot.

Journal of pediatric psychology
OBJECTIVE: This study examined the impact of a humanoid robot (MEDi®) programmed to teach deep breathing as a coping strategy, on children's pain and fear as primary and secondary outcomes, respectively, during intravenous (IV) line placement. The co...

Prediction and comparison of postural discomfort based on MLP and quadratic regression.

Journal of occupational health
OBJECTIVE: The objective of this study was to predict postural discomfort based on the deep learning-based regression (multilayer perceptron [MLP] model).

Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning-Based Text Generation.

Pain medicine (Malden, Mass.)
OBJECTIVE: Recent efforts to update the definitions and taxonomic structure of concepts related to pain have revealed opportunities to better quantify topics of existing pain research subject areas.

[From external assessment of pain to automated multimodal measurement of pain intensity : Narrative review of state of research and clinical perspectives].

Schmerz (Berlin, Germany)
BACKGROUND: In patients with limited communication skills, the use of conventional scales or external assessment is only possible to a limited extent or not at all. Multimodal pain recognition based on artificial intelligence (AI) algorithms could be...