[HTML][HTML] Machine learning in pain research

J Lötsch, A Ultsch - Pain, 2018 - journals.lww.com
Pain and pain chronification are incompletely understood and unresolved medical problems
that continue to have a high prevalence. 14 It has been accepted that pain is a complex …

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 …

Towards a neurophysiological signature for fibromyalgia

M López-Solà, CW Woo, J Pujol, J Deus, BJ Harrison… - Pain, 2017 - journals.lww.com
Patients with fibromyalgia (FM) show characteristically enhanced unpleasantness to painful
and nonpainful sensations accompanied by altered neural responses. The diagnostic …

[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 …

[图书][B] Cognitive therapy for chronic pain: a step-by-step guide

BE Thorn - 2017 - books.google.com
This go-to manual--now revised and significantly expanded with more than 50% new
material--has enabled thousands of clinicians to effectively treat clients with chronic pain. In …

[PDF][PDF] The analysis of pain research through the lens of artificial intelligence and machine learning

JN Nagireddi, AK Vyas, MR Sanapati… - Pain …, 2022 - painphysicianjournal.com
Background: Traditional pain assessment methods have significant limitations due to the
high variability in patient reported pain scores and perception of pain by different individuals …

[HTML][HTML] Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

R Salvador, J Radua, EJ Canales-Rodríguez… - PLoS …, 2017 - journals.plos.org
A relatively large number of studies have investigated the power of structural magnetic
resonance imaging (sMRI) data to discriminate patients with schizophrenia from healthy …

Artificial intelligence in drug combination therapy

IF Tsigelny - Briefings in bioinformatics, 2019 - academic.oup.com
Currently, the development of medicines for complex diseases requires the development of
combination drug therapies. It is necessary because in many cases, one drug cannot target …

CANUE: A theoretical model of pain as an antecedent for substance use

E Ferguson, E Zale, J Ditre… - Annals of behavioral …, 2021 - academic.oup.com
Background Pain and substance use are frequently comorbid and have been shown to exert
bidirectional effects. Self-medication of pain and distress via substance use is common and …

[HTML][HTML] Using deep learning and resting-state fMRI to classify chronic pain conditions

AN Santana, I Cifre, CN De Santana… - Frontiers in …, 2019 - frontiersin.org
Chronic pain is known as a complex disease due to its comorbidities with other symptoms
and the lack of effective treatments. As a consequence, chronic pain seems to be under …