Pain Management

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

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Exploring artificial intelligence (AI) Chatbot usage behaviors and their association with mental health outcomes in Chinese university students.

Technology dependence has long been a critical public health issue, especially among young people. W...

Motif and supernode-enhanced gated graph neural networks for session-based recommendation.

Session-based recommendation systems aim to predict users' next interactions based on short-lived, a...

Decomposition-based multi-scale transformer framework for time series anomaly detection.

Time series anomaly detection is crucial for maintaining stable systems. Existing methods face two m...

Spatial and frequency information fusion transformer for image super-resolution.

Previous works have indicated that Transformer-based models bring impressive image reconstruction pe...

People are not becoming "AIholic": Questioning the "ChatGPT addiction" construct.

Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in m...

Self-Supervised Multimodal Learning: A Survey.

Multimodal learning, which aims to understand and analyze information from multiple modalities, has ...

Foundation models in pathology: bridging AI innovation and clinical practice.

Foundation models are revolutionising pathology by leveraging large-scale, pretrained artificial int...

PLPTP: A Motif-based Interpretable Deep Learning Framework Based on Protein Language Models for Peptide Toxicity Prediction.

Peptide toxicity prediction holds significant importance in drug development and biotechnology, as a...

Artificial intelligence approaches for anti-addiction drug discovery.

Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...

Deep learning reveals pathology-confirmed neuroimaging signatures in Alzheimer's, vascular and Lewy body dementias.

Concurrent neurodegenerative and vascular pathologies pose a diagnostic challenge in the clinical se...

Abnormal Static and Dynamic Functional Connectivity in Tension-Type Headache: A Support Vector Machine Analysis.

Tension-type headache (TTH) is a primary headache with the highest prevalence. Previous studies have...

Targeted Muscle Reinnervation and Regenerative Peripheral Nerve Interface for Myoelectric Prosthesis Control: The State of Evidence.

Prosthetic rehabilitation after amputation poses significant challenges, often due to functional lim...

Neural Metabolic Networks: Key Elements of Healthy Brain Function.

Neural networks are responsible for processing sensory stimuli and driving the synaptic activity req...

EEG-ConvoBLSTM: A novel hybrid model for efficient EEG signal classification.

Electroencephalogram (EEG) signals pose a challenge to emotion recognition (ER) tasks due to their c...

Chinese acupoint therapies in cancer pain management: research advances and future perspectives.

Cancer pain management (CPM) is crucial in oncology care, with current approaches including pharmaco...

Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment.

The accurate assessment of pain in clinical settings is challenging due to its subjective nature. In...

Sustainable water allocation under climate change: Deep learning approaches to predict drinking water shortages.

Addressing sustainable urban water supply has become one of the most critical challenges for modern ...

Multidimensional Feature Analysis of Meniere's Disease and Vestibular Migraine: Insights from Machine Learning and Vestibular Testing.

OBJECTIVE: Differentiating between Meniere's disease (MD) and vestibular migraine (VM) is challengin...

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