Pain Management

Multimodal MRI insights into hippocampal pathological changes across the Alzheimer's disease continuum: advances and challenges.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with early and progressive hippocampal pathology serving as a hallmark across the AD continuum, including subjective cognitive decline, mild cognitive impairment, and AD dementia. Single-modal MRI fails to fully capture multilevel hippocampal neuropathology, hindering accurate early diagnosis and prognostic prediction of AD. Thi...

External Validation of EEG-Based Machine Learning Models for Continuous Pain Prediction.

Machine learning (ML) has been used to predict subjective pain intensity from electroencephalographic (EEG) data. However, few ML models for pain assessment have been externally validated, particularly for continuous pain prediction. We externally validated ML regression models using multi-stage validation to predict pain intensity from single-trial oscillatory EEG features. Ninety-one participant...

Development of adaptive activation functions with curvature and range modulation for abstract image feature learning in complex CNNs for cross-domain applications.

Deep learning architectures comprise hierarchies in modern machine learning studies, and these are not only full of semantic depth; they are also stru...

Thigh muscle volume change is associated with longitudinal structural and functional knee osteoarthritis progression - Data from the osteoarthritis initiative.

OBJECTIVE: To investigate the association of change in thigh muscle volume (TMV) with structural knee changes and changes in knee pain and functional ...

Artificial Intelligence in Addiction Scholarship: Transparency, Accountability, and Disclosure in Research and Publishing.

Artificial intelligence (AI) is embedded in addiction scholarship, not only as a methodological tool in research but also as a tool for manuscript pre...

Stakeholder Perspectives on AI-Assisted Pain Assessment in Pediatrics: A Qualitative Study of Shared Needs and Divergent Priorities.

Pain management remains a significant challenge in pediatric care, where pain is frequently under-assessed and undertreated. Artificial intelligence i...

Machine Learning Guided Video Analysis Identifies Sound-Evoked Pain-Related Behaviors from Facial Grimace and Body Cues in Mice.

Humans can experience sound-evoked pain, either from extremely loud sounds or in cases of pain hyperacusis from typically tolerable sounds. However, t...

Identifying the presence of disc herniations in lumbar spine MRI using Gemini 3.1 Pro.

PURPOSE: Lumbar disc herniation is associated with substantial morbidity, including low back pain, radicular leg pain (sciatica), sensory disturbance,...

Postoperative Nocardia cyriacigeorgica infection after glioblastoma resection: correlating metagenomic next-generation sequencing with conventional microbiology.

Postoperative nocardial infection after cranial surgery is rare and difficult to diagnose because Nocardia spp. grow slowly in conventional culture. M...

The role of "red flags" in the diagnostic work-up of hereditary transthyretin amyloidosis: a study using a machine-learning approach.

INTRODUCTION: Hereditary transthyretin amyloidosis (ATTRv) is a rare progressive, potentially life-threatening multisystem disorder caused by mutation...

Biochemically Constrained Multi-Omics Integration Reveals Protein-Metabolite Dependencies Across Diseases.

Integrating proteomic and metabolomic data is essential for understanding complex diseases, yet current approaches that rely primarily on statistical ...

From voxel discovery to regional interaction: A multi-level interpretable framework for Alzheimer's disease diagnosis.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder where early diagnosis serves as the only viable window for effective interventi...

Stephania cepharantha Hayata (Baiyaozi) attenuates cirrhosis-associated intestinal barrier injury by restoring mitochondrial function and suppressing PI3K/AKT signaling.

ETHNOPHARMACOLOGICAL RELEVANCE: Baiyaozi, the dried tuberous root of Stephania cepharantha Hayata, has long been used in traditional Chinese medicine ...

Diagnostic decision-making, vertebral augmentation, and osteoporosis therapy in vertebral compression fractures: a narrative review.

Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and ...

Manual and automated capture of analgesic-responsive facial pain behaviors of unrestrained mice in a trigeminal neuralgia model.

Trigeminal neuralgia (TN), a devastating neuropathic pain condition, profoundly affects human well-being. Despite an initial response to carbamazepine...

Accelerated Brain Aging in Type 1 Diabetes Across Painful and Painless Peripheral Neuropathy: MRI-Based Brain Age Estimates From Deep Learning.

Accelerated brain aging has been reported in diabetes, but its links with diabetic peripheral neuropathy (DPN) and neuropathic pain remain unclear. We...

Computable Phenotype for Identifying Undiagnosed Hypermobile Ehlers-Danlos Syndrome: Protocol for a Development and Validation Study.

BACKGROUND: Hypermobile Ehlers-Danlos syndrome (hEDS) is a multisystemic hereditary connective tissue disorder characterized by generalized joint hype...

Accelerating Focused Ultrasound Modeling in Heterogeneous Spinal Cord Anatomy With Vision Transformer Operator Networks.

OBJECTIVE: The purpose of this work is to develop a data-driven framework for real-time prediction of focused ultrasound pressure fields in the spinal...

Modeling and forecasting oyster norovirus outbreaks of long-range dependence on antecedent marine environmental conditions.

This study presents three artificial intelligence-based models - XGBoost, Random Forest (RF), and Deep Artificial Neural Network (DANN) - with 2-day l...

A machine learning approach to predict treatment response in myofascial pain patients receiving masseter trigger point injections.

BACKGROUND: Trigger point injection (TPI) therapy is widely used for masseter myofascial pain syndrome (MPS), yet outcomes vary substantially. Individ...