AIMC Topic: Pain Measurement
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A Spatiotemporal Deep Learning Framework for Scalp EEG-Based Automated Pain Assessment in Children.
IEEE transactions on bio-medical engineering
May 20, 2024
OBJECTIVE: Common pain assessment approaches such as self-evaluation and observation scales are inappropriate for children as they require patients to have reasonable communication ability. Subjective, inconsistent, and discontinuous pain assessment ...
Performance Evaluation of a Supervised Machine Learning Pain Classification Model Developed by Neonatal Nurses.
Advances in neonatal care : official journal of the National Association of Neonatal Nurses
May 15, 2024
BACKGROUND: Early-life pain is associated with adverse neurodevelopmental consequences; and current pain assessment practices are discontinuous, inconsistent, and highly dependent on nurses' availability. Furthermore, facial expressions in commonly u...
Unsupervised machine learning for clustering forward head posture, protraction and retraction movement patterns based on craniocervical angle data in individuals with nonspecific neck pain.
BMC musculoskeletal disorders
May 13, 2024
OBJECTIVES: The traditional understanding of craniocervical alignment emphasizes specific anatomical landmarks. However, recent research has challenged the reliance on forward head posture as the primary diagnostic criterion for neck pain. An advance...
Pain prediction model based on machine learning and SHAP values for elders with dementia in Taiwan.
International journal of medical informatics
May 7, 2024
INTRODUCTION: Pain conditions are common in elderly individuals, including those with dementia. However, symptoms associated with dementia may lead to poor recognition, assessment and management of pain. In this study, we incorporated the variables b...
Gait Alterations and Association With Worsening Knee Pain and Physical Function: A Machine Learning Approach With Wearable Sensors in the Multicenter Osteoarthritis Study.
Arthritis care & research
Apr 17, 2024
OBJECTIVE: The objective of this study was to identify gait alterations related to worsening knee pain and worsening physical function, using machine learning approaches applied to wearable sensor-derived data from a large observational cohort.
Application of AI in Multilevel Pain Assessment Using Facial Images: Systematic Review and Meta-Analysis.
Journal of medical Internet research
Apr 12, 2024
BACKGROUND: The continuous monitoring and recording of patients' pain status is a major problem in current research on postoperative pain management. In the large number of original or review articles focusing on different approaches for pain assessm...
Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.
Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
Apr 3, 2024
BACKGROUND: 'Mo-fi-disc' is a new scoring system that quantifies degeneration of the lumbar spine and predicts the intensity of low back pain (LBP). However, its association with LBP-related disability is unknown. In the present study, we aimed to an...
An accurately supervised motion-aware deep network for non-contact pain assessment of trigeminal neuralgia mouse model.
Journal of oral & facial pain and headache
Mar 12, 2024
Pain assessment in trigeminal neuralgia (TN) mouse models is essential for exploring its pathophysiology and developing effective analgesics. However, pain assessment methods for TN mouse models have not been widely studied, resulting in a critical g...
Deep Learning for Face Detection and Pain Assessment in Japanese macaques ().
Journal of the American Association for Laboratory Animal Science : JAALAS
Mar 1, 2024
Facial expressions have increasingly been used to assess emotional states in mammals. The recognition of pain in research animals is essential for their well-being and leads to more reliable research outcomes. Automating this process could contribute...
Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data.
IEEE journal of biomedical and health informatics
Nov 7, 2023
Despite the promising performance of automated pain assessment methods, current methods suffer from performance generalization due to the lack of relatively large, diverse, and annotated pain datasets. Further, the majority of current methods do not ...
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