US Health Policy

Assessment of Telemedicine Perceptions, Usability, and Implementation Barriers Among Physicians in Kazakhstan Using the Telehealth Usability Questionnaire-Model for Assessment of Telemedicine-Kazakhstan Version (TUQ-MAST-KZ) Questionnaire: Pilot Cross-Sectional Survey Study.

BACKGROUND: Health care professionals' perceptions of telemedicine, its usability, and the presence of organizational barriers are important determinants of the successful implementation of digital solutions in health care. In Kazakhstan, the use of international assessment instruments requires contextual adaptation. The Telehealth Usability Questionnaire-Model for Assessment of Telemedicine-Kazak...

Progress of Multimodal Imaging: Bridging Orthodontics to Comprehensive Oral Multidisciplinary Care.

INTRODUCTION AND AIMS: For decades, orthodontic diagnosis and treatment have primarily depended on physical models, imaging techniques, and three-dimensional (3D) imaging technologies. Nevertheless, single-modal data exhibits inherent limitations, including insufficient spatial resolution, lack of tissue specificity, and discontinuous spatiotemporal information. These drawbacks make it challenging...

Interpretable LightGBM model with SHAP analysis predicts non-excellent response to initial radioiodine therapy in differentiated thyroid carcinoma.

PURPOSE: To identify independent determinants influencing therapeutic outcomes of initial radioactive iodine (1 3 1I) therapy in differentiated thyroi...

Electronic structure manipulation in electrocatalysis: mechanisms and design principles.

Electrocatalysis is a novel technology that can convert intermittent renewable electrical energy into high-value chemical fuels or products, achieving...

Smart choices, green voices: The role of AI and social influence in eco-friendly online shopping.

Consumers increasingly encounter sustainability messages not only through traditional advertising, but through interactive, AI-mediated interfaces on ...

Eliminating Nonvalue-Added Tasks in Health Care: Artificial Intelligence in the Orthopedic Office.

PURPOSE: This study examines the efficiency and proof-of-concept use of a generative artificial intelligence (AI) documentation prototype, evaluating ...

Polygenic and polysocial risk scores in post-type 2 diabetes dementia: Risk stratification and predictive modeling in the UK Biobank cohort.

BackgroundDementia is a common complication of type 2 diabetes mellitus (T2DM), influenced by both genetic susceptibility and social disadvantages. Wh...

Establishing a Sustainable Artificial Intelligence Center of Excellence for Health Care Systems: Part I-Strategic Frameworks, Infrastructure, and Performance Metrics.

Artificial Intelligence (AI) is rapidly transforming modern health care by enhancing data analysis, decision-making, and automation across clinical do...

Using a single actor to output personalized policy for different intersections.

Recent advances in Multi-Agent Reinforcement Learning (MARL) have demonstrated significant potential for adaptive traffic signal control. However, exi...

Pediatric Firearm Risk Prediction in Trauma Centers and After Discharge: A Machine Learning Analysis.

OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured children and adolescents admitted to U.S. trauma center...

Tspan4+ fibroblasts facilitate the development of NECSO in myocardial ischemia reperfusion through migrasomes-mediated Tnf-α autocrine and cardiomyocytes aldosterone generation.

Myocardial ischemia/reperfusion (I/R) is the preferred treatment for acute myocardial infarction, yet it still results in cardiomyocytes (CMs) injury....

Risk prediction tools in multiple long-term conditions management: a qualitative study.

BACKGROUND: Risk stratification is integral to providing good care, but its value in managing patients with multiple long-term conditions (MLTC) remai...

Unraveling the stability of fish collagen: A review of assembly mechanisms, decisive factors, and regulatory strategies from natural tissues to in vitro gels.

Fish collagen, mainly derived from by-products of fish processing, such as skin, bones, and swim bladders, possesses significant economic value. Howev...

Scaling Multimodal Agentic AI in Medical Education: Multisite Cross-Sectional Study of Simulation Effectiveness in Primary Care.

BACKGROUND: Conversational artificial intelligence (AI) systems offer potential solutions to traditional constraints in medical consultation skills tr...

Prompt engineering enables open-source large language models to match proprietary models in diagnostic accuracy for annotation of radiology reports.

AIM: This study aimed to test whether open-source large language models (LLMs) can match the diagnostic accuracy of proprietary models in annotating t...

Developing and validating a clinically actionable prediction tool for Parkinson disease using explainable machine learning with multidimensional national data: A cross-sectional study.

Parkinson disease (PD) is a rapidly growing neurodegenerative disorder that presents a significant public health challenge in aging societies, particu...

Cognitive function is associated with risk of conversion to secondary progressive multiple sclerosis: A cross-sectional study.

BACKGROUND: Predicting conversion from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive multiple sclerosis (SPMS) is critical fo...

Concordant and Fluid-Specific Glycosylation Alterations in Serum and Saliva Enable Non-Invasive Diagnosis of Colorectal Cancer.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, highlighting the need for accurate, noninvasive biomarkers. This study in...

Estimating cognitive function score from mild cognitive impairment to moderate dementia using a hybrid model combining plasma biomarkers with electroencephalogram signal.

BackgroundPredicting cognitive function across dementia stages remains challenging. Plasma biomarkers and electroencephalogram (EEG) features may prov...

Exploring the aesthetic cognition and artistic acceptance of AIGC-generated urban sculptures: A structural equation modeling and visual content analysis approach.

As artificial intelligence-generated content (AIGC) becomes increasingly integrated into creative practices, its application in public art-particularl...