Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Enlarged perivascular spaces (ePVS) are a marker of cerebral small vessel disease, potentially reflecting reduced waste clearance. Because manual quantification is unfeasible in large datasets, we developed and evaluated an automated tool. METHODS: Detection Of Regions of Enlarged perivascular Spaces (DORES), a 3D nnU-Net-based deep learning algorithm was developed for ePVS segmentatio...
BackgroundAccurate, non-invasive prediction of cerebral amyloid-β (Aβ) pathology in mild cognitive impairment (MCI) remains challenging yet critical for early intervention.ObjectiveTo develop a multimodal machine learning model integrating clinical features, plasma biomarkers, and structural MRI metrics for non-invasive Aβ prediction.MethodsData were obtained from the Alzheimer's Disease Neuroimag...
PURPOSE: Early detection of cognitive decline is essential for timely diagnosis and treatment. This study aimed to evaluate whether upper-limb movemen...
Predicting the risk of Alzheimer's disease (AD) is fundamental for early-stage intervention. Nevertheless, most methods struggle to extract multi-omic...
The quality of Baobaoqu directly influences the quality of Baijiu. In this study, metatranscriptomics, metaproteomics and metabolomics were utilized, ...
Examining sleep patterns in relation to chronological ageing and dementia can provide insights for risk screening. Integrating predictive models with ...
Histological analysis is essential for understanding disease pathology and the microenvironment, particularly in Alzheimer's disease (AD), characteriz...
BACKGROUND: Generative artificial intelligence (GenAI), particularly large language models (LLMs), is being integrated into healthcare documentation, ...
BACKGROUND: Cardiovascular surgery residency training requires the integration of extensive theoretical knowledge with advanced visuospatial reasoning...
INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools to optimize candidate selection and survival outco...
BACKGROUND: Large language models (LLMs) have demonstrated expert-level performance on medical licensing examinations, but most benchmarks focus on fi...
Apoptosis and pyroptosis-mediated neuronal death represent major pathogenic mechanisms underlying Alzheimer's disease (AD). Given the potential crosst...
BACKGROUND: Distinguishing individuals with cognitive decline (CD), including early Alzheimer's disease, from cognitively normal (CN) individuals is e...
INTRODUCTION: On average, women now spend more than one-third of their lives in the post-reproductive period, yet menopause care across Europe remains...
BACKGROUND: Postoperative delirium is a common complication after cardiac surgery, and perioperative inflammation may contribute to its development. H...
Alzheimer's disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. Some of its characteristics are slow cognitive dec...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with mild cognitive impairment (MCI) as its prodromal stage. Accurate MCI conver...
The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic hea...
OBJECTIVE: To evaluate the accuracy of six different artificial intelligence (AI) models in answering questions from Spain's MIR (Médico Interno Resid...
Dual specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A), a member of the CMGC kinase family, regulates diverse cellular processes and i...