[HTML][HTML] In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?
Machine learning is becoming an increasingly common component of routine data analyses
in clinical research. The past decade in pain research has witnessed great advances in …
in clinical research. The past decade in pain research has witnessed great advances in …
Identifying chronic low back pain phenotypic domains and characteristics accounting for individual variation: a systematic review
Interpatient variability is frequently observed among individuals with chronic low back pain
(cLBP). This review aimed at identifying phenotypic domains and characteristics that …
(cLBP). This review aimed at identifying phenotypic domains and characteristics that …
Altered habenular connectivity in chronic low back pain: An fMRI and machine learning study
CP Mao, Y Wu, HJ Yang, J Qin, QC Song… - Human Brain …, 2023 - Wiley Online Library
The habenula has been implicated in the pathogenesis of pain and analgesia, while
evidence concerning its function in chronic low back pain (cLBP) is sparse. This study aims …
evidence concerning its function in chronic low back pain (cLBP) is sparse. This study aims …
Systematic reviews of machine learning in healthcare: a literature review
K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
[HTML][HTML] Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research
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 …
research in the utilization of Artificial Intelligence (AI) in chronic pain (CP) management …
Machine learning study of the extended drug–target interaction network informed by pain related voltage-gated sodium channels
Pain is a significant global health issue, and the current treatment options for pain
management have limitations in terms of effectiveness, side effects, and potential for …
management have limitations in terms of effectiveness, side effects, and potential for …
[HTML][HTML] Navigating the AI frontiers in cardiovascular research: a bibliometric exploration and topic modeling
Artificial intelligence (AI) has emerged as a promising field in cardiovascular disease (CVD)
research, offering innovative approaches to enhance diagnosis, treatment, and patient …
research, offering innovative approaches to enhance diagnosis, treatment, and patient …
[HTML][HTML] Transformer encoder with multiscale deep learning for pain classification using physiological signals
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 …
Accurate pain assessment remains a challenge due to the limitations of conventional self …
[HTML][HTML] Predicting pain in people with sickle cell disease in the day hospital using the commercial wearable apple watch: feasibility study
RS Stojancic, A Subramaniam, C Vuong… - JMIR formative …, 2023 - formative.jmir.org
Background Sickle cell disease (SCD) is a genetic red blood cell disorder associated with
severe complications including chronic anemia, stroke, and vaso-occlusive crises (VOCs) …
severe complications including chronic anemia, stroke, and vaso-occlusive crises (VOCs) …
[HTML][HTML] EEG recordings as biomarkers of pain perception: Where do we stand and where to go?
Introduction The universality and complexity of pain, which is highly prevalent, yield its
significance to both patients and researchers. Developing a non-invasive tool that can …
significance to both patients and researchers. Developing a non-invasive tool that can …