Pain Management

Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks in the brainstem. The effects of opioids on sensory inputs regulating breathing are less studied. This study examined the effects of fentanyl and sufentanil on carotid body neural activity, a crucial sensory regulator of breathing. Both opioids stimulated carotid body afferent nerve activity and incr...

Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion

The rapid rise of video content on platforms such as TikTok and YouTube has transformed information dissemination, but it has also facilitated the spread of harmful content, particularly hate videos. Despite significant efforts to combat hate speech, detecting these videos remains challenging due to their often implicit nature. Current detection methods primarily rely on unimodal approaches, whi...

Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques.

By helping the neurosurgeon create treatment strategies that increase the survival rate, automotive diagnosis and CT (Computed Tomography) hemorrhage ...

A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference

Data integration approaches are increasingly used to enhance the efficiency and generalizability of studies. However, a key limitation of these meth...

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, whereas the mechanism of falls in pain is unclear. Thi...

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 impairment or distress. Understanding the neurophysiologica...

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Multimodal medical image segmentation faces significant challenges in the context of gastric cancer lesion analysis. This clinical context is define...

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, multimorbidity and other health-related issues. ...

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 chronic low back pain (CLBP). Animal and human studies s...

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, including environmental monitoring, urban planning, and di...

Segmentation of the thoracolumbar fascia in ultrasound imaging: a deep learning approach.

BACKGROUND: Only in recent years it has been demonstrated that the thoracolumbar fascia is involved in low back pain (LBP), thus highlighting its impl...

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 and hypersensitivity of corneal nerves, often resul...

Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data.

Conventional remote sensing classification approaches based on single-source data exhibit inherent limitations, driving significant research interest ...

Neural Networks and Chemical Messengers: Insights into Tobacco Addiction.

This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (TA) and whether these changes reflect alterations ...

Learning-Based Classification of B- and T-Cell Lymphoma on Histopathological Images: A Multicenter Study.

Lymphoma, a clonal malignancy from lymphocytes, includes diverse subtypes requiring distinct immunohistochemical stains for accurate diagnosis. Limite...

Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis.

BACKGROUND: The opioid epidemic in the United States remains a major public health concern, with opioid-related deaths increasing more than 8-fold sin...

Enhanced recovery programme in robotic hysterectomy.

The standard care for endometrial cancer includes total hysterectomy, bilateral salpingo-oophorectomy, peritoneal washings with or without bilateral p...

Deep Learning-Based Instance Appraisable Model (EDi Pain) for Pain Estimation via Facial Videos: A Retrospective Analysis and a Prospective Emergency Department Study.

Pain assessment is a critical aspect of medical care, yet automated systems for clinical pain estimation remain rare. Tools such as the visual analog ...

Predictive optimization using long short-term memory for solar PV and EV integration in relatively cold climate energy systems with a regional case study.

The global shift toward sustainable energy and electric mobility addresses environmental concerns related to fossil fuels. While these alternatives ar...

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 target for peripheral neuropathy, chronic obstruct...