Pain Management

Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition.

Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance ...

Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models.

Accurate forecasting of diabetes burden is essential for healthcare planning, resource allocation, a...

Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.

Pain-related discussions on social media provide valuable insights into how people naturally express...

A Co-Plane Machine Learning Model Based on Ultrasound Radiomics for the Evaluation of Diabetic Peripheral Neuropathy.

RATIONALE AND OBJECTIVES: Detection of diabetic peripheral neuropathy (DPN) is critical for preventi...

Advancing perioperative precision: implementation pathways for machine learning predictions in obstetric analgesia.

A Deep Learning Model for Predicting the Cement Soil Deformation Modulus.

Cement, widely used for backfill grouting in shield tunnels, plays a crucial role in maintaining the...

AI-driven framework for automated detection of kidney stones in CT images: integration of deep learning architectures and transformers.

. Kidney stones, a prevalent urological condition, associated with acute pain requires prompt and pr...

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of ca...

Learning behavior aware features across spaces for improved 3D human motion prediction.

3D skeleton-based human motion prediction is an essential and challenging task for human-machine int...

Facilitators and barriers for using artificial intelligence in cancer pain assessment: a qualitative study.

OBJECTIVES: This study qualitatively explored healthcare providers' perception regarding the use of ...

Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.

Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previ...

Multi-omics identification of circulating protein biomarkers for intervertebral disc degeneration using Mendelian randomization and scRNA-seq.

BACKGROUND: Intervertebral disc degeneration (IVDD) is a primary cause of chronic low back pain, sig...

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression.

-Methyl-d-aspartate receptors (NMDARs) are extensively distributed throughout the central nervous sy...

AI-Guided Decision Support in Acute Cardiac Care: From Chest Pain to STEMI.

Artificial intelligence (AI) is rapidly transforming the landscape of acute cardiac care, offering n...

Slip-actuated bionic tactile sensing system with dynamic DC generator integrated E-textile for dexterous robotic manipulation.

Dexterous manipulation in robotics requires coordinated sensing, signal processing, and actuation fo...

Machine learning design of spectral-selective infrared metasurfaces based on Conway patterns.

Metasurfaces offer precise control over infrared radiation, holding great potential for thermal mana...

Classifying social and physical pain from multimodal physiological signals using machine learning.

Accurate pain assessment is essential for effective management; however, most studies have focused o...

Nondestructive freshness recognition of chicken breast meat based on deep learning.

Identifying chicken breast freshness is an important component of poultry food safety. Traditional m...

A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management.

The accurate prediction of blood glucose is critical for the effective management of diabetes. Moder...

Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting.

Traffic forecasting is considered a cornerstone of smart city development. A key challenge is captur...

Relative importance of socioecological domains to predicting opioid-involved mortality.

BACKGROUND: The opioid crisis in the United States is a complex issue with interconnected factors th...