Pain Management

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

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Significance and mechanisms of perineural invasion in malignant tumors.

Cancer remains the second leading cause of death worldwide. Tumor invasion and metastasis pose signi...

Jan 2025 40421086
Migraine triggers, phases, and classification using machine learning models.

BACKGROUND: In many countries, patients with headache disorders such as migraine remain under-recogn...

Jan 2025 40417110
SA-UMamba: Spatial attention convolutional neural networks for medical image segmentation.

Medical image segmentation plays an important role in medical diagnosis and treatment. Most recent m...

Jan 2025 40504872
Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.

OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze admini...

Jan 2025 40326727
Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection

Face forgery detection (FFD) is devoted to detecting the authenticity of face images. Although cur...

Revealing the Self: Brainwave-Based Human Trait Identification

People exhibit unique emotional responses. In the same scenario, the emotional reactions of two in...

Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion

Human skeleton-based action recognition has long been an indispensable aspect of artificial intell...

Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention

Deformable image registration is a fundamental requirement for medical image analysis. Recently, t...

A Temporal Convolutional Network-based Approach for Network Intrusion Detection

Network intrusion detection is critical for securing modern networks, yet the complexity of networ...

QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation

Medical image segmentation plays a crucial role in assisting healthcare professionals with accurat...

Decade of Natural Language Processing in Chronic Pain: A Systematic Review

In recent years, the intersection of Natural Language Processing (NLP) and public health has opene...

Parallelized Autoregressive Visual Generation

Autoregressive models have emerged as a powerful approach for visual generation but suffer from sl...

A Full Transformer-based Framework for Automatic Pain Estimation using Videos

The automatic estimation of pain is essential in designing an optimal pain management system offer...

Efficacy of Temporal Interference Electrical Stimulation for Spinal Cord Injury Rehabilitation: A Case Series

Spinal cord injury (SCI) is a debilitating condition that often results in significant motor and s...

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation

Radiology report generation (RRG) models typically focus on individual exams, often overlooking th...

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records

The imperative for early detection of type 2 diabetes mellitus (T2DM) is challenged by its asympto...

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

Road traffic forecasting is crucial in real-world intelligent transportation scenarios like traffi...

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Electroencephalography (EEG) is a non-invasive technique to measure and record brain electrical ac...

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