Pain Management

Financial Burden in Adults With Chronic Illness in Switzerland: A Secondary Analysis of Qualitative Interviews Using Natural Language Processing and Topic Modeling.

BACKGROUND: Chronic illness may cause a financial burden that affects patients, their caregivers, and families. While international research, mostly from the United States, has largely focused on cancer-related financial hardship, less is known about whether financial distress due to other chronic illnesses exists, specifically in countries that have universal health insurance coverage, such as Sw...

Can AI chatbots guide patients and physicians about neck pain? A reliability and readability comparison of ChatGPT-4 and Gemini.

BackgroundArtificial intelligence (AI)-based chatbots are increasingly used as sources of medical information. Given the high prevalence of neck pain as a musculoskeletal symptom, patients may commonly consult such tools for health-related guidance.ObjectiveTo evaluate and compare the performance of ChatGPT 4.0 and Google Gemini in addressing commonly asked patient questions and clinical case scen...

Intelligent system for infants' pain detection: pain intensity estimation using deep learning approach.

Pain detection is an important agent for good pain management, especially for patients who are unable to express pain verbally as infants. Recently, p...

Minimally invasive spine surgery: current advantages, limitations, and future directions.

Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular retractors, lateral access corridors, image-guided n...

Integrated molecular and clinical profiling of primary mitochondrial oxidative phosphorylation disorders in an Indian cohort: Insights from genetics, neuroimaging, and machine learning.

Primary mitochondrial disorders are clinically and genetically heterogeneous and remain underdiagnosed in resource-limited settings. We performed a re...

'Building-block coupling effect' in dimethylpyrazine formation: Mechanistic insights and predictive modeling.

This study investigated the patterns and mechanisms of dimethylpyrazines (DMPs) formation based on hydroxyacetone (HA) and established a machine learn...

Explainable machine learning for sustainable education: Predicting college students' reliance on generative artificial intelligence.

As generative artificial intelligence (GenAI) becomes increasingly embedded in education, students are using it to support knowledge acquisition, expl...

Zero Echo Time Magnetic Resonance Imaging of the Spine.

Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed tomography-like visualization of cortical and tra...

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism.

OBJECTIVE: Pre-mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co-pathologies. This st...

A multimodal feature disentanglement model for lymphadenopathy diagnosis based on BUS and CDFI ultrasound videos: a retrospective, prospective, multicenter study.

OBJECTIVES: This study developed and validated a deep learning model for diagnosing lymphadenopathy (LA) using B-mode ultrasound (BUS) and color Doppl...

Dynamic functional connectivity changes in noise-induced hearing loss: a resting-state fMRI study with machine learning-based classification.

OBJECTIVE: Noise-induced hearing loss impacts brain health and cognition, with dynamic functional connectivity analysis offering a promising but under...

Machine Learning Models for Identifying Dental Pain in Adolescents.

INTRODUCTION: This study aimed to identify dental pain using machine learning (ML) algorithms in Brazilian adolescents for public health screening pur...

PDAFormer 3+: A full-scale connected modified transformer with parallel dual attention for 3D medical image segmentation.

Medical image segmentation is essential for enhancing diagnostic and therapeutic accuracy, improving healthcare efficiency, and advancing medical rese...

Evolutionary-Based Deep Learning Network Model using Adaptive Mixing Differential Evolution and Application in Acute Pulmonary Embolism.

INTRODUCTION: Acute pulmonary embolism (APE) is characterized by high incidence and mortality, along with non-specific clinical manifestations. Its co...

Non-polio enterovirus infection and electrophysiological changes in human iPSC-derived neural networks.

BACKGROUND: The non-polio enteroviruses (NPEV) enterovirus D68 (EV-D68) and enterovirus A71 (EV-A71) are highly prevalent and considered pathogens of ...

A Deep Learning Approach for Dynamic Modeling of Stimulated Raman Scattering in Chalcogenide Microstructured Optical Fibers.

Stimulated Raman scattering (SRS) plays a pivotal role in applications such as optical communications, fiber optic sensing, and spectral analysis. How...

Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data.

BACKGROUND: The increasing use of smartphones among older adults offers new opportunities for social connection but may also pose risks associated wit...

Machine learning-based quantification of neurovascular compression for correlation with trigeminal neuralgia pain outcomes.

Machine learning-generated segmentations of the trigeminal nerve and surrounding vasculature can quantitatively assess the magnitude of neurovascular ...

Spatiotemporal clustering of state-level opioid, opioid-stimulant, and opioid-benzodiazepine polysubstance deaths across the U.S.: Hierarchical agglomerative clustering analysis.

BACKGROUND: Polysubstance use continues to complicate the US overdose landscape, with over 107,000 lives lost to drug overdoses in 2022. The present s...

From structural evolution to an AI-driven future of 5-HT1F receptor agonists for migraine therapy.

Migraine is a prevalent and disabling neurological disorder that imposes a substantial global disease burden, particularly among women of childbearing...