[HTML][HTML] Artificial intelligence-enabled intelligent assistant for personalized and adaptive learning in higher education

R Sajja, Y Sermet, M Cikmaz, D Cwiertny, I Demir - Information, 2024 - mdpi.com
This paper presents a novel framework, artificial intelligence-enabled intelligent assistant
(AIIA), for personalized and adaptive learning in higher education. The AIIA system …

[HTML][HTML] A comprehensive analysis and review of artificial intelligence in anaesthesia

M Singhal, L Gupta, K Hirani - Cureus, 2023 - ncbi.nlm.nih.gov
In the field of anaesthesia, artificial intelligence (AI) has become a game-changing
technology. Applications of AI include kee** records, monitoring patients, calculating and …

Sensors and devices guided by artificial intelligence for personalized pain medicine

Y **ng, K Yang, A Lu, K Mackie… - Cyborg and Bionic Systems, 2024 - spj.science.org
Personalized pain medicine aims to tailor pain treatment strategies for the specific needs
and characteristics of an individual patient, holding the potential for improving treatment …

Fully automated deep learning models with smartphone applicability for prediction of pain using the Feline Grimace Scale

PV Steagall, BP Monteiro, S Marangoni, M Moussa… - Scientific Reports, 2023 - nature.com
This study used deep neural networks and machine learning models to predict facial
landmark positions and pain scores using the Feline Grimace Scale©(FGS). A total of 3447 …

[HTML][HTML] Application of AI in multilevel pain assessment using facial images: systematic review and meta-analysis

J Huo, Y Yu, W Lin, A Hu, C Wu - Journal of Medical Internet Research, 2024 - jmir.org
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 …

Incorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review

SN El-Tallawy, JV Pergolizzi, I Vasiliu-Feltes… - Pain and Therapy, 2024 - Springer
Pain is a significant health issue, and pain assessment is essential for proper diagnosis,
follow-up, and effective management of pain. The conventional methods of pain assessment …

The future of pain medicine: emerging technologies, treatments, and education

M Slitzky, RJ Yong, GL Bianco, T Emerick… - Journal of Pain …, 2024 - Taylor & Francis
During the early days of chronic pain management, there was a reliance on the use of
opioids with a significant increase in opioid prescriptions by physicians in the 1990s and …

Equity, transparency, and accountability: open science for the 21st century

MA Winker, T Bloom, S Onie, J Tumwine - The Lancet, 2023 - thelancet.com
Knowledge is essential to saving lives and improving wellbeing. The term open science has
been applied to improving the transparency of knowledge generation, but open science also …

Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders—a comprehensive review

M Shrivastava, L Ye - International journal of oral science, 2023 - nature.com
Abstract Chronic Painful Temporomandibular Disorders (TMD) are challenging to diagnose
and manage due to their complexity and lack of understanding of brain mechanism. In the …

Emerging innovation in pain medicines

A Gupta, G Limerick, J Hsu, J Javaheri… - Pain …, 2024 - Taylor & Francis
The treatment of pain remains a critical, unmet public health challenge. According to the
CDC, in 2021, an estimated 20.9% of US adults (51.6 million people) endured chronic pain …