Pain Management

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 w...

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. Tele...

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 mana...

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

BACKGROUND: Chronic post-operative inguinal pain (CPIP) is a significant complication following ingu...

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-...

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...

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 (...

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 event...

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, ...

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 i...

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 interven...

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-vegetati...

From molecular mechanisms to digital surveillance: the 2010-2025 evolution of benzodiazepine and Z-drug misuse research.

The misuse of benzodiazepines (BZDs) and Z-drugs poses significant global public health challenges. ...

Machine learning-based cross-sectional exploration of depression-chronic pain associations in chronic respiratory disease patients.

BACKGROUND: Chronic respiratory diseases (CRD) are a leading global cause of death, with high comorb...

An intelligent wearable insole system for machine learning-based detection of high-risk postures in static symmetrical load-lifting tasks.

Work-related musculoskeletal disorders (WMSDs) remain a major occupational health concern worldwide,...

Artificial intelligence in headache care.

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

OBJECTIVE: Secondary headaches require urgent recognition due to potentially devastating consequence...

Cognitive gains and addictive losses: The double-edged sword of Generative AI on employee creative thinking.

Drawing on Social Cognitive Theory (SCT), this study examines how Generative Artificial Intelligence...

Development of high-precision automated dynamic plantar aesthesiometer (ADPA): a promising tool in pain research.

Chronic pain is a severe burden affecting 20% of the population worldwide. To develop novel analgesi...

Machine learning classification and regional differentiation of neuropathologically-confirmed Alzheimer's disease and comorbid Lewy body disease.

BACKGROUND: Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) co-occur frequently, and gr...

Consistent analgesic effect of intravenous dexamethasone on rebound pain after brachial plexus block: a causal machine learning approach.

BACKGROUND: Rebound pain, a sudden increase in pain intensity after resolution of regional anesthesi...