AIMC Topic: Low Back Pain

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Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine.

F1000Research Oct 10, 2024
BACKGROUND: Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal disorder globally and the primary cause of disability. Magnetic resonance imaging (MRI) studies are inconclusive and less sensitive for identifying a...
Middle Aged Humans Case-Control Studies Prospective Studies Artificial Intelligence Magnetic Resonance Imaging Female Machine Learning Adult Male Lumbar Vertebrae Low Back Pain
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Lumbar Radicular Pain in the Eyes of Artificial Intelligence: Can You 'Imagine' What I 'Feel'?

World neurosurgery Oct 8, 2024
OBJECTIVE: Pain is a complex sensory and emotional experience that significantly impacts individuals' well-being. Lumbar radicular pain (LRP) is a prevalent neuropathic pain affecting 9.9% to 25% of the population annually. Accurate identification of...
Reproducibility of Results Lumbar Vertebrae Radiculopathy Low Back Pain Humans Artificial Intelligence
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Machine learning in the diagnosis, management, and care of patients with low back pain: a scoping review of the literature and future directions.

The spine journal : official journal of the North American Spine Society Sep 25, 2024
BACKGROUND CONTEXT: Low back pain (LBP) remains the leading cause of disability globally. In recent years, machine learning (ML) has emerged as a potentially useful tool to aid the diagnosis, management, and prognostication of LBP.
Humans Machine Learning Low Back Pain
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Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain.

Scientific reports Aug 12, 2024
This paper presents an analysis of trunk movement in women with postnatal low back pain using machine learning techniques. The study aims to identify the most important features related to low back pain and to develop accurate models for predicting l...
Postpartum Period Movement Torso ROC Curve Range of Motion, Articular Low Back Pain Humans Machine Learning Algorithms Female Adult Biomechanical Phenomena
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Deep Learning Assisted Classification of T1ρ-MR Based Intervertebral Disc Degeneration Phases.

Journal of magnetic resonance imaging : JMRI Jul 15, 2024
BACKGROUND: According to the T1ρ value of nucleus pulposus, our previous study has found that intervertebral disc degeneration (IDD) can be divided into three phases based on T1ρ-MR, which is helpful for the selection of biomaterial treatment timing....
ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Intervertebral Disc Degeneration Low Back Pain Intervertebral Disc Nucleus Pulposus Humans Retrospective Studies Female Reproducibility of Results Aged Adult
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An Artificial Intelligence-Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial.

JMIR human factors Jul 9, 2024
BACKGROUND: Self-management is endorsed in clinical practice guidelines for the care of musculoskeletal pain. In a randomized clinical trial, we tested the effectiveness of an artificial intelligence-based self-management app (selfBACK) as an adjunct...
Humans Artificial Intelligence Female Aged Focus Groups Neck Pain Middle Aged Qualitative Research Mobile Applications Low Back Pain Adult Self-Management Male
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Factors influencing the use of an artificial intelligence-based app (selfBACK) for tailored self-management support among adults with neck and/or low back pain.

Disability and rehabilitation Jun 10, 2024
PURPOSE: Tailored self-management support is recommended as first-line treatment for neck and low back pain, for which mHealth applications could be promising. However, there is limited knowledge about factors influencing the engagement with such app...
Neck Pain Qualitative Research Mobile Applications Telemedicine Low Back Pain Self Care Male Middle Aged Humans Artificial Intelligence Female Aged Adult Self-Management
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Establishing central sensitization inventory cut-off values in Dutch-speaking patients with chronic low back pain by unsupervised machine learning.

Computers in biology and medicine Jun 10, 2024
BACKGROUND: Human Assumed Central Sensitization (HACS) is involved in the development and maintenance of chronic low back pain (CLBP). The Central Sensitization Inventory (CSI) was developed to evaluate the presence of HACS, with a cut-off value of 4...
Humans Female Aged Adult Chronic Pain Central Nervous System Sensitization Cluster Analysis Male Unsupervised Machine Learning Middle Aged Netherlands Surveys and Questionnaires Low Back Pain
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BACK-to-MOVE: Machine learning and computer vision model automating clinical classification of non-specific low back pain for personalised management.

PloS one May 10, 2024
BACKGROUND: Low back pain (LBP) is a major global disability contributor with profound health and socio-economic implications. The predominant form is non-specific LBP (NSLBP), lacking treatable pathology. Active physical interventions tailored to in...
Adult Male Low Back Pain Middle Aged Humans Machine Learning Patient Reported Outcome Measures Movement Neural Networks, Computer Precision Medicine Female
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Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association Apr 3, 2024
BACKGROUND: 'Mo-fi-disc' is a new scoring system that quantifies degeneration of the lumbar spine and predicts the intensity of low back pain (LBP). However, its association with LBP-related disability is unknown. In the present study, we aimed to an...
Lumbar Vertebrae Intervertebral Disc Degeneration Low Back Pain Severity of Illness Index Magnetic Resonance Imaging Pain Measurement Disability Evaluation Cross-Sectional Studies Prospective Studies Male Female Middle Aged Aged Humans Adult Artificial Intelligence
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