[HTML][HTML] Automatic assessment of pain based on deep learning methods: A systematic review

S Gkikas, M Tsiknakis - Computer methods and programs in biomedicine, 2023 - Elsevier
Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …

[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 …

Computer mediated automatic detection of pain-related behavior: prospect, progress, perils

KM Prkachin, Z Hammal - Frontiers in Pain Research, 2021 - frontiersin.org
Pain is often characterized as a fundamentally subjective phenomenon; however, all pain
assessment reduces the experience to observables, with strengths and limitations. Most …

Convolution neural network for pain intensity assessment from facial expression

E Hosseini, R Fang, R Zhang… - 2022 44th annual …, 2022 - ieeexplore.ieee.org
Pain is an unpleasant feeling that can reflect a patient's health situation. Since measuring
pain is subjective, time-consuming, and needs continuous monitoring, automated pain …

Integrating technology adoption models into implementation science methodologies: a mixed-methods preimplementation study

NL Gallant, T Hadjistavropoulos, RJN Stopyn… - The …, 2023 - academic.oup.com
Abstract Background and Objectives Sustainable implementation of patient-oriented
technologies in health care settings is challenging. Preimplementation studies guided by the …

Altered pain sensitivity in 5× familial Alzheimer disease mice is associated with dendritic spine loss in anterior cingulate cortex pyramidal neurons

Z Cui, Z Guo, L Wei, X Zou, Z Zhu, Y Liu, J Wang… - Pain, 2022 - journals.lww.com
Chronic pain is highly prevalent. Individuals with cognitive disorders such as Alzheimer
disease are a susceptible population in which pain is frequently difficult to diagnosis. It is still …

Noninvasive monitoring technologies to identify discomfort and distressing symptoms in persons with limited communication at the end of life: a scoping review

J Xu, HJA Smaling, JW Schoones, WP Achterberg… - BMC Palliative Care, 2024 - Springer
Background Discomfort and distressing symptoms are common at the end of life, while
people in this stage are often no longer able to express themselves. Technologies may aid …

Intelligent sight and sound: a chronic cancer pain dataset

C Ordun, AN Cha, E Raff, B Gaskin, A Hanson… - arXiv preprint arXiv …, 2022 - arxiv.org
Cancer patients experience high rates of chronic pain throughout the treatment process.
Assessing pain for this patient population is a vital component of psychological and …

Real-time evaluation of an automated computer vision system to monitor pain behavior in older adults

RJN Stopyn, A Moturu, B Taati… - … of Rehabilitation and …, 2025 - journals.sagepub.com
Regular use of standardized observational tools to assess nonverbal pain behaviors results
in improved pain care for older adults with severe dementia. While frequent monitoring of …

Guest editorial: Camera-based monitoring for pervasive healthcare informatics

W Wang, S Leonhardt, L Tarassenko… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The papers in this special section focus on camera-based monitoring for pervasive
healthcare informatics. Measuring physiological signals from the human face and body …