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 …

[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 …

Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions

S Singh, R Melnik - Electromagnetic biology and medicine, 2020 - Taylor & Francis
Percutaneous thermal ablation has proven to be an effective modality for treating both
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

MM Van Der Miesen, MA Lindquist, TD Wager - Pain reports, 2019 - journals.lww.com
Chronic pain is an endemic problem involving both peripheral and brain pathophysiology.
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

BXW Liew, FM Kovacs, D Rügamer, A Royuela - European Spine Journal, 2022 - Springer
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 …

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 …

Machine learning–based prediction of clinical pain using multimodal neuroimaging and autonomic metrics

J Lee, I Mawla, J Kim, ML Loggia, A Ortiz, C Jung… - pain, 2019 - journals.lww.com
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 …

Using artificial intelligence to improve pain assessment and pain management: a scoping review

M Zhang, L Zhu, SY Lin, K Herr, CL Chi… - Journal of the …, 2023 - academic.oup.com
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 …

[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 …

[PDF][PDF] The genetics of neuropathic pain from model organisms to clinical application

M Calvo, AJ Davies, HL Hebert, GA Weir, EJ Chesler… - Neuron, 2019 - cell.com
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 …