AIMC Topic: Pain Measurement
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Facilitators and barriers for using artificial intelligence in cancer pain assessment: a qualitative study.
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Aug 4, 2025
OBJECTIVES: This study qualitatively explored healthcare providers' perception regarding the use of modern technology, specifically artificial intelligence (AI), in the assessment and management of cancer pain. It also aimed to identify barriers to a...
Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.
Scientific reports
Jul 31, 2025
Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previous studies using fMRI and EEG have attempted objective pain evaluation, their focus has been limited to resting conditions. This study aimed to class...
Classifying social and physical pain from multimodal physiological signals using machine learning.
Scientific reports
Jul 29, 2025
Accurate pain assessment is essential for effective management; however, most studies have focused on differentiating pain from non-pain or estimating pain intensity rather than distinguishing between distinct pain types. We present a machine learnin...
Applying binary mixed model to predict knee osteoarthritis pain.
PloS one
Jul 15, 2025
Data used to understand knee osteoarthritis (KOA) often involves knee-level, rather than person-level information. Failure to account for the correlation between joints within a person may lead to inaccurate inferences. The aim of this study was to d...
External validation of a prediction model for disability and pain after lumbar disc herniation surgery: a prospective international registry-based cohort study.
Acta orthopaedica
Jul 7, 2025
BACKGROUND AND PURPOSE: We aimed to externally validate machine learning models developed in Norway by evaluating their predictive outcome of disability and pain 12 months after lumbar disc herniation surgery in a Swedish and Danish cohort.
Automatic pain classification in older patients with hip fracture based on multimodal information fusion.
Scientific reports
Jul 1, 2025
Given the limitations of unimodal pain recognition approaches, this study aimed to develop a multimodal pain recognition system for older patients with hip fractures using multimodal information fusion. The proposed system employs ResNet-50 for facia...
Construction and validation of a pain facial expressions dataset for critically ill children.
Scientific reports
May 17, 2025
Automatic pain assessment for non-communicative children is in high demand. However, the availability of related training datasets remains limited. This study focuses on creating a large-scale dataset of pain facial expressions specifically for Chine...
Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation.
Journal of medical Internet research
Mar 31, 2025
BACKGROUND: Chronic pain, affecting more than 20% of the global population, has an enormous pernicious impact on individuals as well as economic ramifications at both the health and social levels. Accordingly, tools that enhance pain assessment can c...
Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach.
JMIR medical informatics
Mar 28, 2025
BACKGROUND: Chronic pain is a complex condition that affects more than a quarter of people worldwide. The development and progression of chronic pain are unique to each individual due to the contribution of interacting biological, psychological, and ...
Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing.
Sensors (Basel, Switzerland)
Mar 26, 2025
Chronic pain is prevalent and disproportionately impacts adults with a lower quality of life. Although subjective self-reporting is the "gold standard" for pain assessment, tools are needed to objectively monitor and account for inter-individual diff...
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