Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Although dementia is a terminal condition, palliation can be a challenge for clinical services. As dementia progresses, people frequently develop behavioural and psychological symptoms, sometimes so severe they require care in specialist dementia mental health wards. Although these are often a marker of late disease, there has been little research on the mortality of people admitted to...
BACKGROUND: Skeletal muscle aging is the major cause and hallmark of frailty, which poses a significant challenge to the healthcare system.
BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly population being particularly vulnerable. Research into sui...
The recent emergence of wearable devices will enable large scale remote brain monitoring. This study investigated whether multimodal wearable sleep re...
Spatial intelligence (SI) represents a cognitive ability encompassing the visualization, manipulation, and reasoning about spatial relationships, un...
Human drivers exhibit individual preferences regarding driving style. Adapting autonomous vehicles to these preferences is essential for user trust ...
Developing effective treatments for Alzheimer's disease (AD) likely requires a deep understanding of molecular mechanisms. Integration of transcriptom...
We address the problem of whole-body person recognition in unconstrained environments. This problem arises in surveillance scenarios such as those i...
Text recognition in natural images remains a challenging yet essential task, with broad applications spanning computer vision and natural language p...
A three-dimensional convolutional neural network was developed to classify T1-weighted brain MRI scans as healthy or Alzheimer. The network comprise...
Parkinson's disease (PD) is a complex neurodegenerative disorder lacking effective disease-modifying treatments. In this study, we integrated large-sc...
BACKGROUND: Hippocampal atrophy is a key marker of Alzheimer's disease (AD) and mild cognitive impairment (MCI). Diverse artificial intelligence (AI) ...
BACKGROUND: Early detection is clinically crucial for the strategic handling of sarcopenia, yet the screening process, which includes assessments of m...
Falls are a significant cause of human disability and death. Risk factors include normal aging, neurodegenerative disease, and sarcopenia. Drosophila ...
There is an urgent need to develop tools to enable older adults to live healthy, independent lives for as long as possible. To address this need, the ...
Lensless imaging stands out as a promising alternative to conventional lens-based systems, particularly in scenarios demanding ultracompact form fac...
Long video generation involves generating extended videos using models trained on short videos, suffering from distribution shifts due to varying fr...
Falls pose a substantial risk to elderly individuals, especially those over 65, often leading to severe consequences. This project investigates the po...
The purpose of this study is to systematically review and evaluate the accuracy of low-dose chest CT-based artificial intelligence in osteoporosis scr...
Generative Pre-trained Transformer (GPT)-4, a versatile conversational artificial intelligence, has potential applications in medicine, but its abilit...