Geriatrics

A bibliometric analysis of the association between ultrasound and sarcopenia: Trends, networks, and future directions.

OBJECTIVE: With the escalating global prevalence of sarcopenia, the demand for effective diagnostic tools is critical. While ultrasound shows promise as a noninvasive assessment method, a comprehensive analysis of its research landscape is limited. This study employs a bibliometric approach to objectively map the field, identify key contributors, and explore future research frontiers. METHODS: We ...

Machine learning identifies traffic-related pollutant mixtures as potential factors suggestive of association with osteoporosis in a cross-sectional analysis of NHANES.

The combined effect of traffic-related pollutant mixtures on osteoporosis (OP) remains unclear. This study aimed to evaluate such associations using machine learning and mixture modeling approaches. A cross-sectional analysis was conducted among 3053 participants from the National Health and Nutrition Examination Survey 2015 to 2018. Eighteen exposures were assessed, including heavy metals, polycy...

Common biomarkers of Alzheimer disease and postoperative delirium.

Alzheimer disease (AD) and Postoperative delirium (POD) may share a common mechanism, but their shared genes and potential novel therapeutic targets r...

Integration of network pharmacology, deep learning, and molecular biology reveals the efficacy of Citrus aurantium L. var. amara Engl. blossom extract in ameliorating diabetic osteoporosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Diabetic osteoporosis (DOP) is a type of metabolic bone disease. Blossom of Citrus aurantium L. var. amara Engl. (CAVA...

Clinical governance of artificial intelligence in internal medicine: a literature-informed five-pillar framework for complex care.

Most artificial intelligence (AI) governance frameworks in healthcare address model development, reporting standards, or regulation in broad terms, bu...

Explainable machine learning for the prediction of Alzheimer's disease-related cognitive impairment: a consensus feature selection approach.

BACKGROUND: Early identification of Alzheimer's disease-related cognitive impairment remains challenging, and existing machine learning (ML) models of...

EEG biomarkers can predict early-stage Alzheimer's disease and correlate with intracerebral pathology: a multimodal machine learning study.

BACKGROUND: Early recognition of Alzheimer's disease (AD) is crucial for timely intervention and delaying disease progression. Electroencephalogram (E...

Video-based detection of Delirium in hospitalized adults.

Delirium, a dynamic neuropsychiatric condition associated with morbidity and mortality, remains underdiagnosed due to reliance on subjective, intermit...

ROI-guided virtual narrow band imaging for laryngeal cancer screening.

White light laryngoscopy is widely available but can miss subtle vascular changes associated with early laryngeal neoplasia. We developed a region-of-...

Advancing Alzheimer Disease Prediction With Large Language Model-Based Linguistic Feature Analysis: Development and Validation Study.

BACKGROUND: Alzheimer disease (AD) is a progressive neurodegenerative disorder with rapidly growing global prevalence. Early detection is critical for...

Harnessing theoretical neuroscience to understand decision-making across aging.

Understanding how decision-making changes across the lifespan is a central challenge for neuroscience, yet research on cognitive aging remains largely...

Retinal lesion annotation on fundus imaging: an interobserver variability study.

Accurate detection and segmentation of retinal lesions in fundus photographs is essential for diagnosing diabetic retinopathy (DR) and for developing ...

PipeBench: a benchmarking framework for end-to-end machine learning pipelines.

The integration of machine learning (ML) into modern data management systems has enabled intelligent decision-making across large-scale information in...

Radiation dose has no significant impact on CT-based bone mineral density measurements in a large-animal model.

Bone mineral density (BMD) is a biomarker for frailty, and CT-derived radiodensity can be extracted fully automatically as a surrogate. Because these ...

From Three to Eight Clusters: A Machine Learning-Based Classification of Operated Adult Spinal Deformity Patients.

BACKGROUND: Adult spinal deformity (ASD) is a heterogeneous condition encompassing diverse etiologies, clinical presentations, and surgical challenges...

Turning Compliance Into Action: An Augmented Intelligence-Enabled Framework for Advocacy Organizations to Drive Population Health Improvement.

Community Health Needs Assessments (CHNAs), mandated by the Affordable Care Act for tax-exempt hospitals, represent an underutilized yet rich data sou...

Machine Learning-Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi-Media Systems.

Machine learning (ML) holds promise for reconstructing microplastic (MP) aging and assessing risks, but current studies rely on small-scale, accelerat...

Clinical decision support tools in wound management: A scoping review of existing and emerging tools.

AIM: This scoping review aimed to identify and map clinical decision support tools (both digital and non-digital) used by clinicians for wound managem...

The emerging role of oligodendrocytes in Alzheimer's disease: Integrating bibliometric insights with molecular pathogenesis.

BackgroundOligodendrocytes (OLs) have received relatively limited attention in Alzheimer's disease (AD) research; however, recent studies highlight th...

Peripheral immune and vascular inflammatory signatures precede Alzheimer's disease onset: A serum proteomic study.

BackgroundNeuroinflammation plays an important role in the pathogenesis of Alzheimer's disease, but systemic immune alterations preceding clinical ons...