What low back pain is and why we need to pay attention

J Hartvigsen, MJ Hancock, A Kongsted, Q Louw… - The Lancet, 2018 - thelancet.com
Low back pain is a very common symptom. It occurs in high-income, middle-income, and low-
income countries and all age groups from children to the elderly population. Globally, years …

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 …

Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews

SD Tagliaferri, M Angelova, X Zhao, PJ Owen… - NPJ digital …, 2020 - nature.com
Artificial intelligence and machine learning (AI/ML) could enhance the ability to detect
patterns of clinical characteristics in low-back pain (LBP) and guide treatment. We …

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 …

Chronic pain diagnosis using machine learning, questionnaires, and QST: a sensitivity experiment

AN Santana, CN de Santana, P Montoya - Diagnostics, 2020 - mdpi.com
In the last decade, machine learning has been widely used in different fields, especially
because of its capacity to work with complex data. With the support of machine learning …

Assessment of exercise‐induced hypoalgesia in chronic low back pain and potential associations with psychological factors and central sensitization symptoms: A …

P Patricio, C Mailloux, TH Wideman, P Langevin… - Pain …, 2023 - Wiley Online Library
Introduction Exercise is the most recommended treatment for chronic low back pain (CLBP)
and is effective in reducing pain, but the mechanisms underlying its effects remain poorly …

[HTML][HTML] The predictive ability of the STarT Back Tool was limited in people with chronic low back pain: a prospective cohort study

M Kendell, D Beales, P O'Sullivan, M Rabey, J Hill… - Journal of …, 2018 - Elsevier
Questions In people with chronic non-specific low back pain (LBP), what is the predictive
and discriminative validity of the STarT Back Tool (SBT) for pain intensity, self-reported LBP …

[HTML][HTML] The relationship between pain-related psychological factors and maximal physical performance in low back pain: a systematic review and meta-analysis

T Matheve, L Janssens, N Goossens, L Danneels… - The Journal of …, 2022 - Elsevier
Theoretical frameworks explain how pain-related psychological factors may influence the
physical performance. In this systematic review and meta-analysis, we evaluated the …

Feasibility and long-term efficacy of a proactive health program in the treatment of chronic back pain: a randomized controlled trial

A Hüppe, C Zeuner, S Karstens, M Hochheim… - BMC health services …, 2019 - Springer
Background To facilitate access to evidence-based care for back pain, a German private
medical insurance offered a health program proactively to their members. Feasibility and …

Prognostic Models for Chronic Low Back Pain Outcomes in Primary Care Are at High Risk of Bias and Lack Validation—High-Quality Studies Are Needed: A …

Y Fu, D Feller, B Koes, A Chiarotto - journal of orthopaedic & sports …, 2024 - jospt.org
OBJECTIVE: To provide an updated overview of available prognostic models for people with
chronic low back pain (LBP) in primary care. DESIGN: Prognosis systematic review …