Latest AI and machine learning research in geriatrics for healthcare professionals.
Biological age scores are an emerging tool to characterize aging by estimating chronological age b...
Neuropathological diagnosis of Alzheimer disease (AD) relies on semiquantitative analysis of phospho...
Large Language Models (LLMs) stand on the brink of reshaping the field of aging and dementia care, c...
There has been extensive evidence that aging affects human brain function. However, there is no comp...
BACKGROUND: AI medical image analysis shows potential applications in research on premature aging an...
Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevan...
We applied natural language processing (NLP) to a corpus extracted from 4 hours of expert panel disc...
The population of dementia patients is on the rise, as society undergoes rapid aging. This led to an...
Vertebral compression fractures (VCFs) are common and indicate a high future risk of additional oste...
This study investigates the causal relationships between Clinical Dementia Ratings (CDR) and its s...
With the increasing number of patients diagnosed with Alzheimer's Disease, prognosis models have t...
Detecting falls among the elderly and alerting their community responders can save countless lives...
MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, cruci...
Deep Learning (DL) in neuroimaging has become increasingly relevant for detecting neurological con...
End-to-end robot learning, particularly for long-horizon tasks, often results in unpredictable out...
Alzheimer's disease (AD) progresses from asymptomatic changes to clinical symptoms, emphasizing th...
OBJECTIVE: To evaluate whether the CT attenuation of bones seen on shoulder CT scans could be used t...
Neuroimaging data acquired using multiple scanners or protocols are increasingly available. However,...
PURPOSE: Changes in retinal structure and microvasculature are connected to parallel changes in the ...
In recent years, brain imaging genomics has advanced significantly in revealing underlying pathologi...
Medical imaging segmentation is a highly active area of research, with deep learning-based methods...