Pain Management

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

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Test-Time Training Done Right

Test-Time Training (TTT) models context dependencies by adapting part of the model's weights (refe...

MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification

Multimodal information processing has become increasingly important for enhancing image classifica...

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables

Time series forecasting with exogenous variables is a critical emerging paradigm that presents uni...

Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval

Zero-Shot Composed Image Retrieval (ZS-CIR) aims to retrieve target images given a compositional q...

GraphAU-Pain: Graph-based Action Unit Representation for Pain Intensity Estimation

Understanding pain-related facial behaviors is essential for digital healthcare in terms of effect...

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

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

May 2025 40390610
Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection

Intraventricular hemorrhage (IVH) is a severe neurological complication among premature infants, n...

AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing

Large language models (LLMs) like GPT-4 show potential for scaling motivational interviewing (MI) ...

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...

May 2025 40410265
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...

May 2025 40410532
MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering

Medical Visual Question Answering (MedVQA) is crucial for enhancing the efficiency of clinical dia...

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...

May 2025 40402551
Generative adversarial DacFormer network for MRI brain tumor segmentation.

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

May 2025 40404794
SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance Learning

Medical image segmentation plays an important role in various clinical applications, but existing ...

Unified Cross-Modal Attention-Mixer Based Structural-Functional Connectomics Fusion for Neuropsychiatric Disorder Diagnosis

Gaining insights into the structural and functional mechanisms of the brain has been a longstandin...

The Application of Artificial Intelligence to Enhance Spinal Cord Stimulation Efficacy for Chronic Pain Management: Current Evidence and Future Directions.

PURPOSE OF REVIEW: Chronic pain significantly impacts quality of life for millions globally, with sp...

May 2025 40394275
Enhancing Transformers Through Conditioned Embedded Tokens

Transformers have transformed modern machine learning, driving breakthroughs in computer vision, n...

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...

May 2025 40378144
Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion

The rapid rise of video content on platforms such as TikTok and YouTube has transformed informatio...

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 ...

May 2025 40382387
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