Pain Management

Anterior midcingulate cortex activity during pain catastrophizing predicts and sequentially tracks reduction in pain interference after cognitive behavioral therapy in fibromyalgia.

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and functional disability. Cognitive behavioral therapy (CBT) has been shown to alleviate FM symptoms, but the neural mechanisms underlying CBT's effectiveness in reducing functional impact remain unclear. In this study, we investigated the temporal dynamics of clinical and neural responses to CBT. We conducted...

Generative AI Empower Addiction-Related Brain Circuits Detection via Graph Diffusion-Infused Adversarial Learning.

The study of the nicotine addiction mechanism is of great significance in both nicotine withdrawal and brain science. The detection of addiction-related brain circuitry using functional magnetic resonance imaging (fMRI) is a critical step in studying this mechanism. However, it is challenging to accurately estimate addiction-related brain circuitry due to the low signal-to-noise ratio of fMRI and ...

Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis From Multimodal Brain Imaging.

Multimodal neuroimages, such as diffusion tensor imaging (DTI) and resting-state functional MRI (fMRI), offer complementary perspectives on brain acti...

A Review of Vagus Nerve Stimulation for Disease: Comprehensive Theory and Evidence for Mechanisms of Action.

Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depression, obesity, stroke rehabilitation, rheumatoid ...

A Multimodal AI Framework for Early Autism Identification Using CbRNN-Ensemble Modelling and Advanced NCIAPPF-Based Temporal Encoding.

To improve child developmental results and enable prompt interventions, early identification of autism spectrum disorder (ASD) is crucial. Conventiona...

Development and Internal Validation of a Gradient Boosting Model for Pressure Injury Risk in the ICU.

Pressure injury (PI) is common in the ICU and not well captured by single-risk tools such as the Braden scale. We aimed to develop and internally vali...

A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia.

Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, spec...

Fine-grained identification of tea plantation parcels in UAV remote sensing images based on DVIT-UNet.

The complex terrain and diverse management practices in tea-producing regions have resulted in highly fragmented tea plantation plots, posing challeng...

Forecasting migraine with time-series machine learning from mobile health data.

BACKGROUND: Machine learning provides a powerful framework to model the complex patterns underlying migraine attack onset from real-world high dimensi...

Most digital psychological interventions for chronic pain fail to measure all 4 dimensions of the quadruple aim of value-based health care: a scoping review.

Psychological treatments are increasingly being developed and delivered using platforms such as mobile applications, online modules, virtual reality, ...

Artificial intelligence in the management of sports knee injuries: a narrative review.

INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. ...

A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI.

OBJECTIVE: Lumbar spinal stenosis (LSS) is a degenerative spinal condition characterized by the narrowing of the lumbar spinal canal, leading to back ...

AVPENet: Pain estimation from audio-visual fusion of non-speech sounds.

Pain assessment in non-verbal patients, including neonates and unconscious adults, remains a critical challenge in clinical practice. Current pain sca...

The Effect of Parrot Therapy on During Venipuncture Pain in Chronic Patients.

OBJECTIVE: There are no randomized controlled trial (RCT) in the current literature comparing live, robotic, and visual animal-based therapies. This s...

Toward Opioid-Free Ambulatory Surgery: A Prospective Study Using Machine Learning to Predict Postoperative Opioid Use.

BACKGROUND: Postoperative opioid use has the risk of dependence and diversion. We developed an opioid-sparing regimen and identified factors associate...

Effectiveness of Thoracic Paravertebral Block in Minimally Invasive Vertebroplasty: A Retrospective Cohort Study Focusing on Pain Trajectories and Sagittal Spinal Alignment.

PURPOSE: To evaluate the effectiveness of ultrasound-guided thoracic paravertebral block (TPVB) combined with general anesthesia (GA) versus GA alone ...

Digital health technologies in pain management for patients with endometriosis: A scoping review.

OBJECTIVE: This scoping review aimed to map the evidence on how digital health technologies are used for pain management in endometriosis. METHODS: Th...

Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients.

INTRODUCTION: Postoperative delirium (POD) adversely affects clinical outcomes among older adults undergoing spine surgery. However, existing predicti...

Ti3C2/CuCoSe2 p-n Heterojunction: Preparation and Mechanism for Machine Learning-enhanced Electrochemical Sensing of Rutin.

Rutin is widely employed as a therapeutic agent, but excessive intake may induce adverse reactions such as gastric discomfort, headache and dermatitis...

CT-Based Automated Segmentation and Recurrence Prediction in Chronic Subdural Hematoma: A Dual-Label Multicenter Study.

Chronic subdural hematoma (CSDH) frequently recurs after burr-hole surgery, yet most prior imaging studies have focused primarily on hematoma and have...