Although proper pain evaluation is mandatory for establishing the appropriate therapy, self‐
reported pain level assessment has several limitations. Data‐driven artificial intelligence (AI) …

Pain is a significant public health problem as the number of individuals with a history of pain
globally keeps growing. In response, many synergistic research areas have been coming …

Data from omics studies have been used for prediction and classification of various diseases
in biomedical and bioinformatics research. In recent years, Machine Learning (ML) …

Electrodermal activity (EDA) measures skin conductivity, reflecting sweat gland activity, and
is considered a noninvasive measure of the sympathetic nervous system (SNS) …

The current method for assessing pain in clinical practice is subjective and relies on self-
reported scales. An objective and accurate method of pain assessment is needed for …

Automatic pain recognition is essential in healthcare. In previous studies, automatic pain
recognition methods preferentially apply the features extracted from physiological signals for …

The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …

Pain, a pervasive global health concern, affects a large segment of population worldwide.
Accurate pain assessment remains a challenge due to the limitations of conventional self …

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 …

This study aims to design a time-continuous pain level assessment system for
temporomandibular joint therapy. Our objectives cover verifying literature suggestions on …