Pain Management

PFA-Net: a physics-informed feature enhancement and attention network for interpretable bearing fault diagnosis under strong noise.

As critical components in rotating machinery, the operational status of rolling bearings directly affects the safety and reliability of equipment. However, in real-world industrial environments, factors such as strong background noise, multi-source coupled vibrations, and complex transmission paths often mask the early failure characteristics of bearings, making it difficult for traditional method...

Enhancing medical Q&A systems with multimodal knowledge graphs and dual-layer attention mechanisms.

Medical intelligent question-answering (QA) systems have become important tools for improving the efficiency of healthcare services, and recent research has increasingly emphasized performance optimization and multimodal integration. However, existing systems still face several challenges in intent recognition, entity extraction, and multimodal knowledge fusion, particularly reduced accuracy in mu...

Automated detection of lumbar disc herniation at L4-L5 and L5-S1 levels on sagittal MRI using a YOLO-based deep learning model.

OBJECTIVE: To conduct a preliminary single-center feasibility study of a YOLO-based deep-learning model for automated detection of lumbar disc herniat...

A multicenter study on the prediction model for chronic low back pain after lumbar decompression surgery in patients with diabetes mellitus: integration of metabolic and paraspinal muscle features.

OBJECTIVE: Based on multicenter clinical data, this study aimed to develop and validate a predictive model for chronic low back pain (CLBP) after lumb...

Scoping review: artificial intelligence in patient education for scoliosis.

BACKGROUND: Scoliosis is a prominent and disabling spinal deformity often presenting in adolescence, causing pain and movement dysfunction. Treatment ...

Integrating Nonpharmacologic Strategies for Pain with Inclusion, Respect, and Equity (INSPIRE): Cultural and linguistic tailoring for a digital health intervention.

Chronic pain (CP) disproportionately affects underserved populations who often experience barriers to evidence-based nonpharmacologic treatments. Digi...

Decoding imagined Chinese speech: a capsule neural network based on bidirectional knowledge transfer for hierarchical multi-label classification.

Objective.Speech imagination is one of the most important research directions in the field of brain-computer interfaces (BCIs). However, there is insu...

Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.

BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights the roles of demographic, lifestyle, and comorbid...

ISSLS Prize in Bioengineering Science 2026: Hidden in Plain Sight: Machine Learning-Assisted MRI Reveals Novel Vertebral Body Biomarkers of Chronic Low Back Pain in Humans.

PURPOSE: To identify signal and spatial biomarkers in the lumbar vertebrae of individuals with and without non-specific chronic low back pain (NSCLBP)...

Comparative Effectiveness of AI-Assisted Telerehabilitation, Telerehabilitation, In-Person Care, and Usual Care for Chronic Nonspecific Low Back Pain: Bayesian Network Meta-Analysis.

BACKGROUND: Guided exercise is central to rehabilitation for chronic nonspecific low back pain. Telerehabilitation enables remote delivery of guided e...

The effectiveness of artificial intelligence-based interventions on treatment outcomes for low back pain: A systematic review and meta-analysis of randomized controlled trials.

BackgroundLow back pain is a global health challenge that requires constant progress to aid its management. Currently, artificial intelligence, as a m...

Minimizing chronic groin pain after inguinal hernia surgery: An augmented evidence review.

BACKGROUND: Chronic post-operative inguinal pain (CPIP) is a significant complication following inguinal hernia repair. Evidence on the surgical facto...

Development and validation of a dual-channel deep learning for continuous acute kidney injury prediction in critically ill patients.

This study aimed to develop and externally validate a real-time, continuous prediction model for 48-h acute kidney injury (AKI) risk in critically ill...

Archetypal Visual Field Analysis of Patients With Chronic Leber Hereditary Optic Neuropathy in Relation to Visual Recovery.

PURPOSE: To use the machine learning algorithm archetypal analysis (AA) to characterize visual field (VF) loss patterns in patients with chronic Leber...

Optimising pain identification in resource-limited emergency departments using transfer learning and fine-tuned language models.

OBJECTIVE: To optimise the identification of patients presenting with pain in emergency department (ED) settings with limited resources using multiple...

Post-stroke rehabilitation in inflammatory rheumatic diseases: outcome measures, digital tools, and patient education perspectives.

Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk ...

Leveraging Rich Mechanical Features and Long-Range Physical Constraints for Lumbar Spine Stress Analysis.

OBJECTIVE: The biomechanical properties of the lumbar spine is crucial for assisting the diagnosis, treatment, and prevention of spinal diseases. Trad...

Predicting Pain: Electroencephalography Signatures of Neural Integration During Experimental Tonic Thermal Pain.

BACKGROUND: The identification of reliable neural signatures for pain remains a critical challenge in both clinical and experimental settings. While e...

Low-burden data-driven work addiction screening: Comparing demographic and psychosocial predictors using machine learning.

BACKGROUND AND AIMS: Identifying employees at risk for work addiction is critical for early intervention, yet systematic screening approaches face pra...

Dependencies of ecological drought on climatic drivers in diverse ecosystems: Implications for water resources management.

Ecological drought poses substantial risks to ecosystem functioning through complex climate-vegetation interactions. Focusing on the Yangtze River Bas...