AIMC Topic: Low Back Pain
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Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.
Scientific reports
Jul 2, 2025
As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed the International Classification of Functioning, Disability, and Health (ICF) to provide a standardized terminology and framework for describing and cla...
Alterations in static and dynamic functional network connectivity in chronic low back pain: a resting-state network functional connectivity and machine learning study.
Neuroreport
Apr 9, 2025
Low back pain (LBP) is a prevalent pain condition whose persistence can lead to changes in the brain regions responsible for sensory, cognitive, attentional, and emotional processing. Previous neuroimaging studies have identified various structural a...
LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 7, 2025
Spiking neural networks (SNNs) present the potential for ultra-low-power computation, especially when implemented on dedicated neuromorphic hardware. However, a significant challenge is the efficient conversion of continuous real-world data into the ...
GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals.
Computers in biology and medicine
Mar 6, 2025
Low Back Pain (LBP) is the most prevalent musculoskeletal condition worldwide and a leading cause of disability, significantly affecting mobility, work productivity, and overall quality of life. Due to its high prevalence and substantial economic bur...
Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review.
BMC musculoskeletal disorders
Feb 7, 2025
BACKGROUND: Low back pain is the leading cause of disability worldwide with a significant socioeconomic burden; artificial intelligence (AI) has proved to have a great potential in supporting clinical decisions at each stage of the healthcare process...
Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain.
PeerJ
Jan 22, 2025
BACKGROUND: Patients who are informed about the causes, pathophysiology, treatment and prevention of a disease are better able to participate in treatment procedures in the event of illness. Artificial intelligence (AI), which has gained popularity i...
Finding Predictive Factors of Stabilization Exercise Adherence in Randomized Controlled Trials on Low Back Pain: An Individual Data Reanalysis Using Machine Learning Techniques.
Archives of physical medicine and rehabilitation
Jan 3, 2025
OBJECTIVE: To identify predictors of adherence in supervised and self-administered exercise interventions for individuals with low back pain.
Assessing the performance of AI chatbots in answering patients' common questions about low back pain.
Annals of the rheumatic diseases
Jan 2, 2025
OBJECTIVES: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).
Use of machine learning to identify prognostic variables for outcomes in chronic low back pain treatment: a retrospective analysis.
The Journal of manual & manipulative therapy
Nov 14, 2024
OBJECTIVES: Most patients seen in physical therapy (PT) clinics for low back pain (LBP) are treated for chronic low back pain (CLBP), yet PT interventions suggest minimal effectiveness. The Cochrane Back Review Group proposed 'Holy Grail' questions, ...
An Efficient Muscle Segmentation Method via Bayesian Fusion of Probabilistic Shape Modeling and Deep Edge Detection.
IEEE transactions on bio-medical engineering
Oct 25, 2024
OBJECTIVE: Paraspinal muscle segmentation and reconstruction from MR images are critical to implement quantitative assessment of chronic and recurrent low back pains. Due to unclear muscle boundaries and shape variations, current segmentation methods...
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