[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 …

Applied AI in instrumentation and measurement: The deep learning revolution

M Khanafer, S Shirmohammadi - IEEE Instrumentation & …, 2020 - ieeexplore.ieee.org
In the last few years, hardly a day goes by that we do not hear about the latest
advancements and improvements that Artificial Intelligence (AI) has brought to a wide …

Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs

MC Comes, A Fanizzi, S Bove, V Didonna… - Scientific Reports, 2021 - nature.com
The dynamic contrast-enhanced MR imaging plays a crucial role in evaluating the
effectiveness of neoadjuvant chemotherapy (NAC) even since its early stage through the …

Early prediction of breast cancer recurrence for patients treated with neoadjuvant chemotherapy: a transfer learning approach on DCE-MRIs

MC Comes, D La Forgia, V Didonna, A Fanizzi, F Giotta… - Cancers, 2021 - mdpi.com
Simple Summary An early prediction of Breast Cancer Recurrence (BCR) for patients
undergoing neoadjuvant chemotherapy (NACT) could better guide clinicians in the …

Safety assessment of dynamic systems: An evidential group interaction-based fusion design

Z Liu, Y Deng, Y Zhang, Z Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Considering the inherent unknown risks in the operation of complex dynamic system, it is
very important to assess its safety accurately. Within the framework of human-in-the-loop, we …

CAM-FoC: A high accuracy lightweight deep neural network for grip force measurement of elongated surgical instrument

Y Guo, B Pan, Y Fu, MQH Meng - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Grip force measurement enables better control performance for robot-assisted minimally
invasive surgery (RMIS). A deep-learning-based method is proposed to measure the …

Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization

JJ Valdés, P Xi, M Cohen-McFarlane… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Remote monitoring and measurement are valuable tools for medical applications and they
are particularly important in the context of pandemic outbreaks, like the current COVID-19 …

Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease

MJ Panaggio, DM Abrams, F Yang… - PLoS computational …, 2021 - journals.plos.org
Patients with sickle cell disease (SCD) experience lifelong struggles with both chronic and
acute pain, often requiring medical interventMaion. Pain can be managed with medications …

Metrological characterization of a pain detection system based on transfer entropy of facial landmarks

P Casti, A Mencattini, J Filippi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Pain is an alert state of the human body that can be conveyed to the external world through
different modalities. A possible communication channel for human pain is represented by …