Pain Management

Latest AI and machine learning research in pain management for healthcare professionals.

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Predictors of smartphone addiction in adolescents with depression: combing the machine learning and moderated mediation model approach.

Smartphone addiction (SA) significantly impacts the physical and mental health of adolescents, and c...

Multi-layered data framework for enhancing postoperative outcomes and anaesthesia management through natural language processing.

Anaesthesia management is a critical aspect of perioperative care, directly influencing postoperativ...

Predicting pregnancy-related pelvic girdle pain using machine learning.

BACKGROUND: Pregnancy-related pelvic girdle pain (PPGP) is a common complication during gestation wh...

Multi-level feature fusion network for kidney disease detection.

Kidney irregularities pose a significant public health challenge, often leading to severe complicati...

Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification.

IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...

Explainable transformer-based deep survival analysis in childhood acute lymphoblastic leukemia.

BACKGROUND: Acute lymphoblastic leukemia (ALL) is the most common type of leukemia among children an...

GDP-Net: Global Dependency-Enhanced Dual-Domain Parallel Network for Ring Artifact Removal.

In Computed Tomography (CT) imaging, the ring artifacts caused by the inconsistent detector response...

AI for chronic pain in children: a powerful resource.

Given the lack of scientific evidence, chronic pain represents an arduous challenge, especially in t...

[New technologies serve as accelerators for breakthroughs in modern acupuncture research].

As one of China's most internationally influential original disciplines, acupuncture-moxibustion has...

Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning.

Smartphone addiction among students has emerged as a critical issue, negatively impacting their acad...

Machine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery.

The incidence of hypotension after a lumbosacral epidural in dogs depends on the volume of local ana...

Generative adversarial DacFormer network for MRI brain tumor segmentation.

Current brain tumor segmentation methods often utilize a U-Net architecture based on efficient convo...

Clinical Efficacy of Multimodal Exercise Telerehabilitation Based on AI for Chronic Nonspecific Low Back Pain: Randomized Controlled Trial.

BACKGROUND: Exercise therapy is strongly recommended as a treatment for chronic nonspecific low back...

Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...

Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques.

By helping the neurosurgeon create treatment strategies that increase the survival rate, automotive ...

Comparing interpretable machine learning models for fall risk in middle-aged and older adults with and without pain.

Pain is common in middle-aged and older adults, has also been identified as a fall risk factor, wher...

Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity.

BACKGROUND: Internet addiction (IA) refers to excessive internet use that causes cognitive impairmen...

GCN-Transformer: Graph Convolutional Network and Transformer for Multi-Person Pose Forecasting Using Sensor-Based Motion Data.

Multi-person pose forecasting involves predicting the future body poses of multiple individuals over...

Unleashing the Potential of Residual and Dual-Stream Transformers for the Remote Sensing Image Analysis.

The categorization of remote sensing satellite imagery is crucial for various applications, includin...

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