Pain Management

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

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Optic nerve sheath diameter in the prognosis of patients with traumatic optic neuropathy: Evaluation and predictive efficacy.

The purpose of this study was to evaluate and predict visual prognosis in patients with traumatic op...

A multivariate time series prediction model based on the KAN network.

Time series forecasting is crucial in various fields such as financial markets and weather predictio...

Advanced multiscale machine learning for nerve conduction velocity analysis.

This paper presents an advanced machine learning (ML) framework for precise nerve conduction velocit...

A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of br...

Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes.

This study leveraged machine learning (ML) models to explore the relationship between three-dimensio...

Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.

As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed th...

STVMamba: precipitation nowcasting with spatiotemporal prediction model.

A lightweight rainfall nowcasting model is required by Sichuan provincial meteorological bureaus. De...

Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection.

The complexity of the outdoor orchard environment, especially the changes in light intensity and the...

Evaluating ChatGPT and DeepSeek in postdural puncture headache management: a comparative study with international consensus guidelines.

OBJECTIVE: To evaluate the use of ChatGPT and DeepSeek in clinical practice to provide healthcare pr...

Eff-ReLU-Net: a deep learning framework for multiclass wound classification.

Chronic wounds have emerged as a significant medical challenge due to their adverse effects, includi...

CFM-UNet: coupling local and global feature extraction networks for medical image segmentation.

In medical image segmentation, traditional CNN-based models excel at extracting local features but h...

Multimodal fusion based few-shot network intrusion detection system.

As network environments become increasingly complex and new attack methods emerge more frequently, t...

High-accuracy PM prediction via mutual information filtering and Bayesian-Optimized Spatio-Temporal Convolutional Networks.

Air pollution, particularly fine particulate matter (PM), poses severe threats to human health and e...

Automatic pain classification in older patients with hip fracture based on multimodal information fusion.

Given the limitations of unimodal pain recognition approaches, this study aimed to develop a multimo...

DeepECG-Net: a hybrid transformer-based deep learning model for real-time ECG anomaly detection.

Real-time Electrocardiogram (ECG) anomaly detection is critical for accurate diagnosis and timely in...

Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach.

Diabetic foot Ulceration (DFU) is a severe complication of diabetic foot syndrome, often leading to ...

Machine learning of time series data using persistent homology.

This study proposes a novel method for time-series analysis based on persistent homology. Traditiona...

The analysis of dynamic evaluation of online shopping satisfaction based on the recurrent neural network model.

This work aims to accurately understand user satisfaction in online shopping, reflecting user prefer...

Integration of multiple coinflip devices for high-quality random sampling.

Artificial intelligence, scientific computing, and probabilistic computing use random sampling to ap...

Multi-modal and Multi-view Cervical Spondylosis Imaging Dataset.

Multi-modal and multi-view imaging is essential for diagnosis and assessment of cervical spondylosis...

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