Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Large language models are increasingly becoming a key resource for hemodialysis patients to access information on disease management. However, the information reliability, readability, and guideline concordance of LLM-generated hemodialysis-related educational texts remain insufficiently evaluated. METHODS: This study identified 42 dialysis-related questions from an initial pool of 200...
Type 2 diabetic osteoporosis (T2DOP) is a significant complication of type 2 diabetes, characterized by an increased risk of fractures. While dysregulated bone cell glucose metabolism is implicated, its specific mechanisms are unclear. This research combined bioinformatics with experimental validation to examine glycolysis-related genes in T2DOP. We merged osteoporosis and type 2 diabetes datasets...
The convergence of Sixth-Generation (6G) wireless networks and neuromorphic computing presents significant opportunities for intelligent, energy-effic...
As a crucial type of post-translational modification, glycosylation plays a fundamental role in maintaining cellular homeostasis and is closely associ...
BACKGROUND: Electroencephalogram (EEG) microstates effectively characterise cognitive-related brain networks, and metal homeostasis is crucial for mai...
BACKGROUND: Heart failure represents a significant global health burden, with prolonged length of stay (LoS) tied to increased mortality and costs. Ac...
Aging is a well-recognized risk factor in cardiovascular diseases (CVDs), primarily due to its association with the gradual decline in cardiac functio...
Objective: To evaluate the accuracy and feasibility of applying the DeepSeek artificial intelligence model in clinical decision-making for breast canc...
Intervertebral disc degeneration (IVDD) is increasingly recognized as a systemic collapse of the epigenetic regulatory network, driven by cellular sen...
BACKGROUND: This study aimed to establish and validate interpretable Machine Learning (ML) models for predicting falls and fall-related injuries in mi...
BACKGROUND: Accurate staging of lymph node metastasis (LNM) is crucial for personalising rectal cancer treatment. Lymph nodes (LNs) are the most commo...
BACKGROUND: Electronic health records (EHRs) are central to clinical documentation and care coordination, yet long-standing studies report persistent ...
OBJECTIVE: Isolated rapid-eye-movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due ...
Primary biliary cholangitis (PBC) is an immune-mediated cholestatic liver disease, and osteoporosis (OP) is a prevalent comorbidity that aggravates th...
Delirium is a frequent and clinically consequential complication among patients admitted to the intensive care unit (ICU). Early risk stratification i...
BACKGROUND: Medication adherence is a critical challenge for people living with dementia and their caregivers. Standard care relies on appropriate med...
Chronic kidney disease (CKD) risk assessment is shifting from centralized instrument-heavy testing to personalized point-of-care evaluation enabled by...
Systemic vascular and neurodegenerative disorders are important causes of disability and death worldwide, mainly because of the late stage of diagnosi...
PURPOSE: This meta-analysis systematically evaluates machine learning (ML) applications for predicting postoperative delirium (POD) among elderly pati...
BACKGROUND: Sarcopenia is a major age-related health burden. Although the uric acid to high-density lipoprotein cholesterol ratio (UHR) has been linke...