Latest AI and machine learning research in geriatrics for healthcare professionals.
Aging is a complex, multifactorial process, influencing disease risk and overall health. While chronological age (CA) is widely used in clinical practice, it fails to capture individual aging trajectories. Current approaches to estimate biological age (BA) often focus on single organs or predefined clinical biomarkers, limiting comprehensive assessment. We introduce a novel, purely imaging-driven ...
BACKGROUND: Rapid urbanization in China, while boosting socioeconomic development, has triggered "radical urbanization" characterized by land expansion outpacing population growth and economic activity. This spatial mismatch manifests as high building vacancy rates and underutilized infrastructure. Although urbanization is linked to mental health outcomes, evidence on radical urbanization's impact...
BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserves and increased healthcare burdens. Currently, eff...
Early identification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI), is important for timely clinical assessment...
Type 2 diabetes mellitus (T2DM) requires multi-target therapeutic approaches addressing both insulin resistance and insulin secretion deficits. Althou...
This pilot study explored how adult day centers can serve as transformative clinical learning environments for nursing students to learn dementia care...
Developing diagnostic biomarkers for Alzheimer's disease (AD) is at the cutting edge of interdisciplinary research and technical advancement. This com...
Skin aging reflects both intrinsic biological decline and extrinsic influences collectively known as the skin exposome, including ultraviolet (UV) rad...
Continuous and reliable monitoring of soldiers' health in remote and resource-constrained environments is essential for operational readiness and time...
BACKGROUND: Frailty poses a significant challenge to aging societies, with increasing attention being paid to the concept of frailty transitions. Wors...
This study investigates the application of machine learning (ML) techniques combined with neuroimaging and speech signal processing for the early dete...
BACKGROUND: A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer. The use o...
BackgroundEye movement is a vital indicator of neurodegenerative diseases, brain health, and behavior. However, existing knowledge is limited to patie...
Purpose To assess the prognostic value of deep learning-derived radiographic age and aging velocity for predicting mortality in an Asian cohort. Mater...
Alzheimer's disease (AD) is a progressive neurodegenerative disease of the nervous system, which has become an important public health issue attractin...
Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the...
BACKGROUND: Heart rate variability (HRV) derived from electrocardiogram (ECG) signals offers a promising non-invasive window into glycemic status; how...
OBJECTIVE: Alzheimer's disease, a progressive neurodegenerative disorder, involves neural, genetic, and proteomic factors and impacts multiple cogniti...
Healthcare leaders face sustained uncertainty: workforce volatility, financial pressure, and accelerating technology change. In 2024-2025, Ardent Heal...
BACKGROUND: Large language models (LLMs) can support clinical decision-making by parsing databases and extracting relevant information. However, evalu...