Pain Management

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

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Comparing interpretable machine learning models for fall risk in middle-aged and older adults with and without pain.

Pain is common in middle-aged and older adults, has also been identified as a fall risk factor, wher...

Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity.

BACKGROUND: Internet addiction (IA) refers to excessive internet use that causes cognitive impairmen...

GCN-Transformer: Graph Convolutional Network and Transformer for Multi-Person Pose Forecasting Using Sensor-Based Motion Data.

Multi-person pose forecasting involves predicting the future body poses of multiple individuals over...

Unleashing the Potential of Residual and Dual-Stream Transformers for the Remote Sensing Image Analysis.

The categorization of remote sensing satellite imagery is crucial for various applications, includin...

The nucleus accumbens-prefrontal connectivity as a predictor of chronic low back pain.

The nucleus accumbens (NAc) and its prefrontal connections are implicated in the aetiology of chroni...

N!CA: Towards Digitalisation of Innovative Care Processes to Unburden and Empower Nurses.

Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases...

Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data.

Conventional remote sensing classification approaches based on single-source data exhibit inherent l...

Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy.

Neuropathic corneal pain (NCP) is an underdiagnosed ocular disorder caused by aberrant nociception a...

Current Trends and Future Directions in Lumbar Spine Surgery: A Review of Emerging Techniques and Evolving Management Paradigms.

: Lumbar spine surgery has undergone significant technological transformation in recent years, drive...

Neural Networks and Chemical Messengers: Insights into Tobacco Addiction.

This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (...

Enhanced recovery programme in robotic hysterectomy.

The standard care for endometrial cancer includes total hysterectomy, bilateral salpingo-oophorectom...

The Rise of Clinical Decision Support Algorithms in Pain Management 2009-2024.

This paper examines the rise of clinical decision support algorithms used to assess risk in pain man...

SSL-DA: Semi-and Self-Supervised Learning with Dual Attention for Echocardiogram Segmentation.

Echocardiogram analysis plays a crucial role in assessing and diagnosing cardiac function, providing...

Biological markers and psychosocial factors predict chronic pain conditions.

Chronic pain is a multifactorial condition presenting significant diagnostic and prognostic challeng...

Developing muscarinic receptor M1 classification models utilizing transfer learning and generative AI techniques.

Muscarinic receptor subtype 1 (M1) is a G protein-coupled receptor (GPCR) and a key pharmacological ...

The interictal transcriptomic map of migraine without aura.

BACKGROUND: The present study aimed to deliver a replicable transcriptomic map of migraine without a...

Naturalistic acute pain states decoded from neural and facial dynamics.

Pain remains poorly understood in task-free contexts, limiting our understanding of its neurobehavio...

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