[HTML][HTML] Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research

MA Khan, RGL Koh, S Rashidiani, T Liu, V Tucci… - Artificial Intelligence in …, 2024 - Elsevier
Objective: The aim of this review is to identify gaps and provide a direction for future
research in the utilization of Artificial Intelligence (AI) in chronic pain (CP) management …

Improving sepsis classification performance with artificial intelligence algorithms: A comprehensive overview of healthcare applications

G Anjana, KL Nisha, A Sankar - Journal of Critical Care, 2024 - Elsevier
Purpose This study investigates the potential of machine learning (ML) algorithms in
improving sepsis diagnosis and prediction, focusing on their relevance in healthcare …

[HTML][HTML] Predicting amputation using machine learning: A systematic review

PF Yao, YD Diao, EP McMullen, M Manka, J Murphy… - Plos one, 2023 - journals.plos.org
Amputation is an irreversible, last-line treatment indicated for a multitude of medical
problems. Delaying amputation in favor of limb-sparing treatment may lead to increased risk …

[HTML][HTML] Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective …

Z Lin, L Yu, S Pan, Y Cao, P Lin - Pain and Therapy, 2024 - Springer
Methods We conducted a retrospective review of 524 hospitalized patients with herpes
zoster at The First Affiliated Hospital of Zhejiang Chinese Medical University from December …

PainMeter: Automatic Assessment of Pain Intensity Levels from Multiple Physiological Signals using Machine Learning

W Aljebreen, DM Ibrahim - IEEE Access, 2024 - ieeexplore.ieee.org
Pain assessment traditionally relies on self-report, but it is subjective and influenced by
various factors. To address this, there'sa need for an affordable and scalable objective pain …

Machine Learning Approaches for Myers-Briggs Personality Prediction

S Santhosh, M Meenakshi, F Avani… - 2023 7th …, 2023 - ieeexplore.ieee.org
In order to predict Myers-Briggs personality types from text input, this research article
compares the abilities of Stochastic Gradient Descent (SGD), Naive Bayes, k-Nearest …

Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain

H Zakeri, M Radmehr, F Khademi… - Journal of Biomedical …, 2023 - jbpe.sums.ac.ir
Chronic pain is a prevalent condition and the leading cause of work absenteeism worldwide.
This condition involves persistent pain lasting more than three months, significantly …

Artificial Intelligence in Geriatric Rehabilitation: Alleviating Pain and Enhancing Care

P Pedersini, MR Tovani-Palone - Topics in Geriatric Rehabilitation, 2024 - journals.lww.com
The use of artificial intelligence (AI) in geriatric rehabilitation offers a novel approach to
elderly care. This article explores how AI can alleviate pain and enhance the quality of care …

[HTML][HTML] Artificial intelligence and pain: opportunities and challenges for research and clinical practice

FJJ Reis, GA Neves, MBL Carvalho - BrJP, 2023 - SciELO Brasil
The growing interest in artificial intelligence (AI) and its applications in various fields of
knowledge, including health care, is possible due to the technological advances and the …

[PDF][PDF] PainMeter: Automatic Assessment of Pain Intensity Levels from Multiple Physiological Signals using Machine Learning

A DA'AD, W ALJEBREEN, DM Ibrahim - 2024 - researchgate.net
Pain assessment traditionally relies on self-report, but it is subjective and influenced by
various factors. To address this, there'sa need for an affordable and scalable objective pain …