Sleep and pain: recent insights, mechanisms, and future directions in the investigation of this relationship
A Herrero Babiloni, BP De Koninck, G Beetz… - Journal of neural …, 2020 - Springer
Sleep disturbances and chronic pain are considered public health concerns. They are
frequently associated, and the direction of its relationship and possible mechanisms …
frequently associated, and the direction of its relationship and possible mechanisms …
[HTML][HTML] Explainable artificial intelligence (XAI) in biomedicine: Making AI decisions trustworthy for physicians and patients
J Lötsch, D Kringel, A Ultsch - BioMedInformatics, 2021 - mdpi.com
The use of artificial intelligence (AI) systems in biomedical and clinical settings can disrupt
the traditional doctor–patient relationship, which is based on trust and transparency in …
the traditional doctor–patient relationship, which is based on trust and transparency in …
Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions
Percutaneous thermal ablation has proven to be an effective modality for treating both
benign and malignant tumours in various tissues. Among these modalities, radiofrequency …
benign and malignant tumours in various tissues. Among these modalities, radiofrequency …
[HTML][HTML] Neuroimaging-based biomarkers for pain: state of the field and current directions
Chronic pain is an endemic problem involving both peripheral and brain pathophysiology.
Although biomarkers have revolutionized many areas of medicine, biomarkers for pain have …
Although biomarkers have revolutionized many areas of medicine, biomarkers for pain have …
[HTML][HTML] Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain
Purpose Prognostic models play an important clinical role in the clinical management of
neck pain disorders. No study has compared the performance of modern machine learning …
neck pain disorders. No study has compared the performance of modern machine learning …
Artificial intelligence and machine learning| applications in musculoskeletal physiotherapy
C Tack - Musculoskeletal Science and Practice, 2019 - Elsevier
Introduction Artificial intelligence (AI) is a field of mathematical engineering which has
potential to enhance healthcare through new care delivery strategies, informed decision …
potential to enhance healthcare through new care delivery strategies, informed decision …
Machine learning–based prediction of clinical pain using multimodal neuroimaging and autonomic metrics
Although self-report pain ratings are the gold standard in clinical pain assessment, they are
inherently subjective in nature and significantly influenced by multidimensional contextual …
inherently subjective in nature and significantly influenced by multidimensional contextual …
Using artificial intelligence to improve pain assessment and pain management: a scoping review
Context Over 20% of US adults report they experience pain on most days or every day.
Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency …
Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency …
[HTML][HTML] A machine learning approach for the identification of a biomarker of human pain using fNIRS
R Fernandez Rojas, X Huang, KL Ou - Scientific reports, 2019 - nature.com
Pain is a highly unpleasant sensory and emotional experience, and no objective diagnosis
test exists to assess it. In clinical practice there are two main methods for the estimation of …
test exists to assess it. In clinical practice there are two main methods for the estimation of …
[PDF][PDF] The genetics of neuropathic pain from model organisms to clinical application
Neuropathic pain (NeuP) arises due to injury of the somatosensory nervous system and is
both common and disabling, rendering an urgent need for non-addictive, effective new …
both common and disabling, rendering an urgent need for non-addictive, effective new …