Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Osteoporosis (OP) is increasingly prevalent with the aging of the world population. It i...
Recent image style transfer methods use a pre-trained convolutional neural network as their feature ...
Given the high prevalence and detrimental effects of unintentional falls in the elderly, fall detect...
We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients wi...
BACKGROUND AND OBJECTIVE: Alzheimer's Disease (AD) is associated with neuronal damage and decrease. ...
BACKGROUND: Alzheimer's disease (AD) is a complex and severe neurodegenerative disease that still la...
Microglia performs a variety of functions during brain development designed to maintain brain homeos...
BACKGROUND: Drug-induced QT prolongation is a potentially preventable cause of morbidity and mortali...
Over the last decades, the face of health care has changed dramatically, with big improvements in wh...
Age estimation is an important challenge in many fields, including immigrant identification, legal r...
Smartphones can be used to passively assess and monitor patients' speech impairments caused by ailm...
BACKGROUND: Osteoporosis has increased and developed into a serious public health concern worldwide....
Sarcopenia is a muscle disease which previously was associated only with aging, but in recent days i...
To diagnose Alzheimer's disease (AD), neuroimaging methods such as magnetic resonance imaging have b...
Transcription of eukaryotic genomes involves complex alternative processing of RNAs. Sequencing of f...
The DESCARTE model aims to guide health care researchers on the design, conduct, and reporting of ca...
Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...
Protein glycation provides a biomarker in widespread clinical use, glycated hemoglobin HbA (A1C). It...
BACKGROUND: Identifying cognitive impairment early enough could support timely intervention that may...
Semi-supervised learning has largely alleviated the strong demand for large amount of annotations in...
Since its first outbreak, Coronavirus Disease 2019 (COVID-19) has been rapidly spreading worldwide a...