Latest AI and machine learning research in geriatrics for healthcare professionals.
Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cogniti...
Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are usef...
New technology, such as social robots, opens up new opportunities in hospital settings. PARO, a robo...
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current cl...
Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of path...
The measurement of bone mineral density for osteoporosis has always been the focus of researchers be...
Aβ-amyloid deposition is a key feature of Alzheimer's disease, but Consortium to Establish a Registr...
BACKGROUND: Digital technologies, including robots, are being increasingly used in elderly care. The...
Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic...
Medical prediction is always collectively determined based on bioimages collected from different sou...
BACKGROUND: Interacting with social robots, such as the robotic seal PARO, has been shown to improve...
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge....
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is desi...
The ability to realize the individuals' impressions during the verbal communication allows social ro...
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries. From a resear...
PURPOSE OF REVIEW: Financial capacity (FC) is a complex, multi-dimensional construct that changes ov...
Machine learning and deep learning are rapidly finding applications in the medical imaging field. In...
PURPOSE: Although functional brain imaging has been used for the early and objective assessment of c...
Multiple recent advances in machine learning enabled computer systems to exceed human performance in...
OBJECTIVE: Osteoporosis is hard to detect before it manifests symptoms and complications. In this st...