Latest AI and machine learning research in geriatrics for healthcare professionals.
This study sought to measure medium-sized extracellular vesicles (mEVs) in plasma, when patients have low early in infection. We aimed to define the relationship between plasma mEVs and: (i) parasitaemia, (ii) period from onset of malaria symptoms until seeking medical care (patient delay, PD), (iii) age and (iv) gender. In this cross-sectional study, n = 434 patients were analysed and Nanosight ...
Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cognitive impairment (MCI) is a clinical precursor of AD. Although some treatments can delay its progression, no effective cures are available for AD. Accurate early-stage diagnosis of AD is vital for the prevention and intervention of the disease progression. Hippocampus is one of the first affected brain...
Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are useful for clinical inspection of patients and in biom...
New technology, such as social robots, opens up new opportunities in hospital settings. PARO, a robotic pet seal, was designed to provide emotional an...
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be...
Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of pathological cognitive decline facilitates the greates...
The measurement of bone mineral density for osteoporosis has always been the focus of researchers because it plays an important role in bone disease d...
Aβ-amyloid deposition is a key feature of Alzheimer's disease, but Consortium to Establish a Registry for Alzheimer's Disease (CERAD) assessment, base...
BACKGROUND: Digital technologies, including robots, are being increasingly used in elderly care. Their impact on users carries implications for succes...
Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic tests. Often, high-throughput approaches are appl...
Medical prediction is always collectively determined based on bioimages collected from different sources or various clinical characterizations describ...
BACKGROUND: Interacting with social robots, such as the robotic seal PARO, has been shown to improve mood and acute pain for people with dementia. Lit...
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ul...
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is designed to detect seizure events from raw electroence...
The ability to realize the individuals' impressions during the verbal communication allows social robots to significantly facilitate their social inte...
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. With advances in technology, there is an opportunity ...
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries. From a research point of view, impressive results have been rep...
PURPOSE OF REVIEW: Financial capacity (FC) is a complex, multi-dimensional construct that changes over the lifespan and commonly becomes impaired as i...
Machine learning and deep learning are rapidly finding applications in the medical imaging field. In this paper, we address the long-standing problem ...
PURPOSE: Although functional brain imaging has been used for the early and objective assessment of cognitive dysfunction, there is a lack of generaliz...