Pain Management

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

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The need for epistemic humility in AI-assisted pain assessment.

It has been difficult historically for physicians, patients, and philosophers alike to quantify pain...

Machine learning models and classification algorithms in the diagnosis of vestibular migraine: A systematic review and meta-analysis.

OBJECTIVES: To perform a systematic review and meta-analysis to evaluate the effectiveness of machin...

ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning.

Early detection of malignant thyroid nodules is crucial for effective treatment, but traditional dia...

Assessing GPT-4's accuracy in answering clinical pharmacological questions on pain therapy.

AIMS: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, i...

Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...

GraphSleepFormer: a multi-modal graph neural network for sleep staging in OSA patients.

Obstructive sleep apnea (OSA) is a prevalent sleep disorder. Accurate sleep staging is one of the pr...

Pixel level deep reinforcement learning for accurate and robust medical image segmentation.

Existing deep learning methods have achieved significant success in medical image segmentation. Howe...

Generative AI Models in Time-Varying Biomedical Data: Scoping Review.

BACKGROUND: Trajectory modeling is a long-standing challenge in the application of computational met...

Vision Mamba and xLSTM-UNet for medical image segmentation.

Deep learning-based medical image segmentation methods are generally divided into convolutional neur...

FEGGNN: Feature-Enhanced Gated Graph Neural Network for robust few-shot skin disease classification.

Accurate and timely classification of skin diseases is essential for effective dermatological diagno...

LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification.

Spiking neural networks (SNNs) present the potential for ultra-low-power computation, especially whe...

NLP-driven integration of electrophysiology and traditional Chinese medicine for enhanced diagnostics and management of postpartum pain.

Postpartum pain encompasses a range of physical and emotional discomforts, often influenced by hormo...

A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection.

Cancer is a severe threat to public health. Early diagnosis of disease is critical, but the lack of ...

GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals.

Low Back Pain (LBP) is the most prevalent musculoskeletal condition worldwide and a leading cause of...

Construction and validation of a predictive model for meningoencephalitis in pediatric scrub typhus based on machine learning algorithms.

To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoe...

Altered Gut Microbiome Composition and Function in Individuals with Complex Regional Pain Syndrome.

BACKGROUND: Complex regional pain syndrome is a chronic pain syndrome typically affecting a limb. It...

Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment.

While long-term opioid therapy is a widely utilized strategy for managing chronic pain, many patien...

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