Latest AI and machine learning research in geriatrics for healthcare professionals.
PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery models. DESIGN: Conceptual framework based on current scientific evidence, existing clinical implementations, and expert consensus across ophthalmology, primary care, technology, and population health. PARTICIPANTS: This work synthesizes published evide...
Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzheimer's disease (AD) has recently attracted great attention. However, challenges like sub-optimal classifiers and poor image representation hinder their effectiveness. Computer-aided diagnosis (CADx) can improve performance by classifying patterns. De...
BACKGROUND: High-throughput technologies now produce a wide array of omics data, from genomic and transcriptomic profiles to epigenomic and proteomic ...
Behavioural and psychological symptoms of dementia pose challenges to the safety and well-being of individuals in residential care. The integration of...
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder. Diffusion tensor imaging (DTI) is widely used to detect brain alterations for ...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that disrupts cognitive function across multiple domains, particularly affecting ...
The integration of artificial intelligence (AI) into surgical practices is advancing towards greater intelligence and precision. This study assesses t...
PURPOSE: Aging and metabolic syndrome (MetS) are intertwined risk factors for breast cancer (BC), but the core molecular nexus integrating these state...
Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and...
SUMMARY: The accurate development, assessment, interpretation, and benchmarking of bioinformatics frameworks for analyzing transcriptional regulatory ...
BACKGROUND: Counseling in family dementia care aims to support caregivers in mastering challenges. The use of information and communication technologi...
To develop a deep learning-based computer-aided diagnostic model for the automated identification of corneal microneuromas from in vivo confocal micro...
BACKGROUND: Chronic kidney disease (CKD) is getting more common in elderly people with metabolic syndrome, but early detection and risk prediction are...
BACKGROUND: Contrast-associated acute kidney injury (CA-AKI) is a frequent complication after mechanical thrombectomy (MT). Cerebral small vessel dise...
Objective.Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due to the potential for poor outcomes with delayed trea...
BACKGROUND: Sarcopenia, characterized by progressive skeletal muscle loss, is associated with poor outcomes in various diseases. Traditional methods f...
Amyloid fibrils formed by the misfolding and aggregation of proteins are a pathological hallmark of many neurodegenerative conditions including Alzhei...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that remains a global challenge due to its complex pathology and the lack of defi...
Vascular Cognitive Impairment and Dementia (VCID), the second most common form of dementia, is becoming increasingly prevalent worldwide. However, cur...