AIMC Topic: Pain
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An Experimental and Clinical Physiological Signal Dataset for Automated Pain Recognition.
Scientific data
Sep 27, 2024
Access to large amounts of data is essential for successful machine learning research. However, there is insufficient data for many applications, as data collection is often challenging and time-consuming. The same applies to automated pain recogniti...
Uncertainty quantification in neural-network based pain intensity estimation.
PloS one
Aug 1, 2024
Improper pain management leads to severe physical or mental consequences, including suffering, a negative impact on quality of life, and an increased risk of opioid dependency. Assessing the presence and severity of pain is imperative to prevent such...
Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights.
International journal of medical informatics
Jul 11, 2024
OBJECTIVE: To determine the incidence of patients presenting in pain to a large Australian inner-city emergency department (ED) using a clinical text deep learning algorithm.
Identifying significant structural factors associated with knee pain severity in patients with osteoarthritis using machine learning.
Scientific reports
Jun 26, 2024
Our main objective was to use machine learning methods to identify significant structural factors associated with pain severity in knee osteoarthritis patients. Additionally, we assessed the potential of various classes of imaging data using machine ...
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...
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...
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...
Long-term quality of life after hybrid robot-assisted and open Ivor Lewis esophagectomy for esophageal cancer in a single center: a comparative analysis.
Langenbeck's archives of surgery
Apr 11, 2024
PURPOSE: Due to improved survival of esophageal cancer patients, long-term quality of life (QoL) is increasingly gaining importance. The aim of this study is to compare QoL outcomes between open Ivor Lewis esophagectomy (Open-E) and a hybrid approach...
An Artificial LiSiO Nociceptor with Neural Blockade and Self-Protection Abilities.
ACS applied materials & interfaces
Apr 9, 2024
An artificial nociceptor, as a critical and special bionic receptor, plays a key role in a bioelectronic device that detects stimuli and provides warnings. However, fully exploiting bioelectronic applications remains a major challenge due to the lack...
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