Pain Management

Acute Management of Nasal Bone Fractures: A Systematic Review and Practice Management Guideline.

Nasal bone fractures represent the most common facial skeletal injury, challenging both function and...

BSN with Explicit Noise-Aware Constraint for Self-Supervised Low-Dose CT Denoising.

Although supervised deep learning methods have made significant advances in low-dose computed tomogr...

TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway.

Intervertebral disc degeneration (IDD), a prevalent spinal condition linked to low back pain, has su...

A transformer-based network with second-order pooling for motor imagery EEG classification.

. Electroencephalography (EEG) signals can reflect motor intention signals in the brain. In recent y...

Multi-scale time series prediction model based on deep learning and its application.

Time series prediction is a widely used key technology, and traffic flow prediction is its typical a...

A fuzzy logic based energy management model for solar PV-wind standalone with battery storage system.

Access to reliable electricity is essential for delivering quality healthcare. However, off-grid hea...

Artificial intelligence-enhanced ECG detection of acute coronary occlusion in chest pain patients with ST-elevation in lead aVR - A direct comparison to conventional ECG criteria.

Artificial intelligence-assisted nursing in cancer care: A meta-analysis of its impact on pain, anxiety, and quality of life.

BACKGROUND: In recent years, artificial intelligence (AI) applications have been recognized as a sup...

Identifying Psychosocial, Self-Management, and Health Profiles Among Women With Chronic Pain Who Have Experienced Intimate Partner Violence and Those Who Have Not: Protocol for a 2-Phase Qualitative and Cross-Sectional Study Using AI Techniques.

BACKGROUND: Women who experience intimate partner violence (IPV) are more likely to develop disablin...

Electrophysiological-based automatic subgroups diagnosis of patients with chronic dysimmune polyneuropathies.

BACKGROUND: Chronic Dysimmune Polyneuropathies (CDP) encompass a group of conditions characterized b...

Spatio-temporal transformer and graph convolutional networks based traffic flow prediction.

Traffic flow prediction is a core component of intelligent transportation systems, providing accurat...

External validation of a prediction model for disability and pain after lumbar disc herniation surgery: a prospective international registry-based cohort study.

BACKGROUND AND PURPOSE:  We aimed to externally validate machine learning models developed in Norway...

Video swin-CLSTM transformer: Enhancing human action recognition with optical flow and long-term dependencies.

As video data volumes soar exponentially, the significance of video content analysis, particularly H...

Improving prediction of fragility fractures in postmenopausal women using random forest.

Osteoporosis is a chronic disease characterized by a progressive decline in bone density and quality...

The Impact of Machine Learning Mortality Risk Prediction on Clinician Prognostic Accuracy and Decision Support: A Randomized Vignette Study.

BackgroundMachine learning (ML) algorithms may improve the prognosis for serious illnesses such as c...

Mitigating Opioid Dependence in Orthopaedic Surgery: Current Strategies and Future Directions.

The opioid crisis presents a significant burden to patients and healthcare systems. Orthopaedic surg...

Ultrasound Imaging and Machine Learning to Detect Missing Hand Motions for Individuals Receiving Targeted Muscle Reinnervation for Nerve-Pain Prevention.

Targeted muscle reinnervation (TMR) was initially developed as a technique for bionic prosthetic con...

Precise metabolic dependencies of cancer through deep learning and validations.

Cancer cells exhibit metabolic reprogramming to sustain proliferation, creating metabolic vulnerabil...

The value of triglyceride-glucose index-related indices in evaluating migraine: perspectives from multi-centre cross-sectional studies and machine learning models.

BACKGROUND: This study employed representative data from the U.S. and China to delve into the correl...

Regional anaesthesia in combat settings: a position paper from military physicians.

Regional anaesthesia (RA) is a powerful tool in combat casualty care. As contemporary warfare evolve...

Predicting Unplanned Intubations in Rib Fracture Patients: An Interpretable Machine Learning Approach.

BackgroundTraumatic rib fractures can lead to respiratory complications necessitating unplanned intu...