AIMC Topic: Pain

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

Journal of occupational health Jan 1, 2021
OBJECTIVE: The objective of this study was to predict postural discomfort based on the deep learning-based regression (multilayer perceptron [MLP] model).
Regression Analysis Predictive Value of Tests Pain Risk Assessment Deep Learning Posture Ergonomics Humans Female Adult Male
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Artificial intelligence for disparities in knee pain assessment.

Nature medicine Jan 1, 2021
Vulnerable Populations Pain Measurement Pain Humans Artificial Intelligence
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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.) Nov 1, 2020
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.
Pain PubMed Deep Learning Humans Natural Language Processing Female Publications
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[From external assessment of pain to automated multimodal measurement of pain intensity : Narrative review of state of research and clinical perspectives].

Schmerz (Berlin, Germany) Oct 1, 2020
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...
Pain Measurement Pain Pain Threshold Humans Artificial Intelligence Algorithms
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[Multimodal recognition of pain intensity and pain modality with machine learning].

Schmerz (Berlin, Germany) Oct 1, 2020
BACKGROUND: The objective recording of subjectively experienced pain is a problem that has not been sufficiently solved to date. In recent years, data sets have been created to train artificial intelligence algorithms to recognize patterns of pain in...
Algorithms Pain Measurement Pain Humans Artificial Intelligence Machine Learning
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Hybrid RNN-ANN Based Deep Physiological Network for Pain Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Quantitative assessment of pain is vital progress in treatment choosing and distress relief for patients. However, previous approaches based on self-report fail to provide objective and accurate assessments. For impartial pain classification based on...
Humans Neural Networks, Computer Algorithms Databases, Genetic Pain Recognition, Psychology
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Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain.

Pain Jan 1, 2020
Early detection of patients with chronic diseases at risk of developing persistent pain is clinically desirable for timely initiation of multimodal therapies. Quality follow-up registries may provide the necessary clinical data; however, their design...
Registries Risk Factors Pain Aged Knowledge Discovery Adolescent Algorithms Young Adult Adult Arthritis, Rheumatoid Female Humans Sweden Male Machine Learning Middle Aged
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Primer on machine learning: utilization of large data set analyses to individualize pain management.

Current opinion in anaesthesiology Oct 1, 2019
PURPOSE OF REVIEW: Pain researchers and clinicians increasingly encounter machine learning algorithms in both research methods and clinical practice. This review provides a summary of key machine learning principles, as well as applications to both s...
Treatment Outcome Pain Measurement Pain Pain Management Datasets as Topic Facial Expression Machine Learning Data Analysis Electronic Health Records Humans Neuroimaging
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Social Robots for Hospitalized Children.

Pediatrics Jul 1, 2019
BACKGROUND AND OBJECTIVES: Social robots (SRs) are increasingly present in medical and educational contexts, but their use in inpatient pediatric settings has not been demonstrated in studies. In this study, we aimed to (1) describe the introduction ...
Child, Hospitalized Pleasure Robotics Play and Playthings Feasibility Studies Humans Anxiety Pain Computers, Handheld Child, Preschool Child
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Assessment of human wrist rigidity and pain in post-traumatic patients.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
The aim of this work is to present a novel robot-based method to assess the sources of a lack of functionality in patients with recent traumatic wrist injuries. Post-traumatic patients experience limited range of motion as well as strength and propri...
Recovery of Function Wrist Joint Robotics Wrist Injuries Humans Pain Female Pain Measurement Adult Range of Motion, Articular Male Orthotic Devices Middle Aged
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