Pain Management

Comparative effectiveness of arthroscopic-assisted uniportal surgery versus percutaneous endoscopic decompression in lumbar spinal stenosis.

Single-level lumbar spinal stenosis (LSS) that does not respond to conservative therapy is now of the standard care given due to minimal invasive decompression, but comparative 12-month outcome data of arthroscope-aided single-portal surgery of the lumbar spine (AUSS) and percutaneous endoscopic lumbar decompression (PELD) are scarce. There are also no individual outcome prediction models of these...

Unraveling Bone-Skin Crosstalk Enables miRNA Nanoformulation for Cutaneous Neurovascular Reconstruction in Diabetic Mice.

The clinical intractability of diabetic foot ulcers stems from a profound uncoupling of cutaneous neurovascular networks, rendering standard metabolic and topical interventions largely palliative. Paradoxically, remote orthopedic trauma robustly accelerates distal skin repair, yet the systemic molecular mediators driving this "bone-skin crosstalk" remain undefined, precluding its translation into ...

Development and validation of a multimodal deep learning model for the radiographic classification of pediatric femoral neck fractures.

BACKGROUND: An alternative classification system for categorizing pediatric femoral neck fractures (PFNFs) has been shown to have significant clinical...

Multimodal Integration of Gait, Balance, and Infrared Thermography Enhances Machine-Learning Classification of Knee Osteoarthritis: A Cross-Sectional Study.

OBJECTIVE: To investigate whether combining gait, balance, and infrared thermography improves discrimination between individuals with knee osteoarthri...

[Artificial intelligence in neuro-ophthalmology: prospects, challenges and countermeasures].

Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at severe neurological diseases. Current clinical practice...

Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study.

BACKGROUND: Although machine learning has increasingly been used to predict mental health symptoms and maladaptive behaviors, real-world prediction of...

Using Machine Learning with the Brief Symptom Inventory to Screen for Comorbid Addictions: A Proof-of-Principle Study.

INTRODUCTION: Mental health disorders are leading causes of morbidity worldwide and often co-occur with substance use and other addictive behaviors. H...

Do soil conservation practices enhance landscape resilience? Causal evidence from terracing in China's Yellow River Basin.

Terracing is a cornerstone of soil conservation, yet quantifying its large-scale effectiveness on landscape resilience remains challenging due to conf...

Artificial intelligence for detection, prediction, and severity classification of diabetic peripheral neuropathy: a systematic review.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes and an important contributor to foot ulceration and lower limb a...

Prefrontal Connectivity Alterations and Oscillatory Dynamics in Cannabis Use Disorder.

Long-term cannabis use can result in the development of cannabis use disorder (CUD) and dependence via the endocannabinoid system pathway. A brain net...

Optimized multi-modal action recognition using multi-agent systems and adaptive temporal attention.

The recognition of human actions through visual input poses considerable difficulties owing to the diverse ways in which individuals perform the same ...

Social Determinants of Health and Fentanyl Overdose Mortality Across US Counties: An XGBoost and SHAP Analysis Identifying Silent Risk Counties and Treatment Deserts.

BACKGROUND: Fentanyl overdose deaths are still increasing across the U.S. Even though the crisis is growing, we still do not fully understand which co...

Biokinetic insights into the hip-spine relationship: no correlation between hip strength or flexibility and altered pelvic motion in patients with low back pain.

PURPOSE: The spine and hips are biomechanically interconnected, and disorders affecting both are often categorized under hip-spine syndrome. This stud...

Machine-Learning-Assisted Catalytic Sensor Array for Rapid Diagnosis of Aortic Dissection.

Acute aortic dissection (AD) is a time-critical cardiovascular emergency that is clinically difficult to distinguish from other causes of acute chest ...

Impact of an Artificial Intelligence-Powered Clinical Decision Support System for Acute Kidney Injury Prevention in the Intensive Care Unit: Single-Center Uncontrolled Before-and-After Implementation Study.

BACKGROUND: Acute kidney injury (AKI) is a frequent and serious complication among hospitalized patients, particularly in critical care settings, wher...

AI-Assisted Clinical Data Abstraction From Electronic Health Records: Retrospective Concordance Study.

BACKGROUND: Manual chart abstraction from electronic health records is a critical step in clinical outcomes research but is time-intensive and prone t...

From single targets to circuits diversified discovery and development strategies towards new paradigms for non-opioid analgesics.

The long-term use of opioids for analgesia is associated with serious adverse effects such as addiction and respiratory depression, as well as a poten...

Bisphenol a exposure induces low back pain associated with intervertebral disc degeneration via BIRC3-mediated nucleus pulposus cell senescence.

OBJECTIVE: This study aimed to assess the correlation of bisphenol A (BPA) exposure with low back pain (LBP) and determine if the underlying molecular...

Atrazine Induces Alzheimer's Disease-Like Neurotoxicity by Targeting SDHB and Disrupting Synaptic Function: An Integrated Bioinformatic and In Vivo Study.

Atrazine (ATR) is a globally prevalent herbicide linked to increased risks of cognitive impairment and neurodegeneration, but its molecular mechanism ...

Multi-attention enhanced encoder-decoder network with hybrid transformer bottleneck for echocardiography image segmentation.

Automatic segmentation of 2D echocardiograms is a critical step in diagnosing and assessing heart diseases. Convolutional Neural Networks (CNNs), such...