Latest AI and machine learning research in geriatrics for healthcare professionals.
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is st...
BACKGROUND: Robots have the potential to both enable older adults with dementia to perform daily act...
AIMS: To assess diabetic retinopathy (DR) prevalence between elderly onset and younger onset diabete...
Longitudinal designs are widely used in medical studies as a means of observing within-subject chang...
Computer-aided diagnosis (CAD) systems constitute a powerful tool for early diagnosis of Alzheimer's...
BACKGROUND: Estrogen receptors (ERs) are nuclear transcription factors that are involved in the regu...
Alzheimer's disease (AD) is an irreversible neurodegenerative disease and affects a large population...
BACKGROUND: Neurodegenerative diseases are incurable and debilitating indications with huge social a...
The use of Ambient Assisted Living (AAL) technologies as a means to cope with problems that arise du...
Brain network alterations in patients with Alzheimer's disease (AD) has been the subject of much inv...
Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer's...
The formation and accumulation of advanced glycation end-products (AGEs) are implicated in several ...
OBJECTIVES: This study proposed a new automated screening system based on a hybrid genetic swarm fuz...
BACKGROUND: Healthcare systems in industrialized countries face the challenge of providing care for ...
Socially assistive robots are increasingly discussed as solutions in care and domestic use for the s...
OBJECTIVE: Hemodialysis patients are prone to malnutrition because of diet or many uremic complicati...
BACKGROUND: Surgical resection is a critical element in the treatment of esophageal cancer. Esophage...
A novel technique of quantitative EEG for differentiating patients with early-stage Creutzfeldt-Jako...
Increasing population age demands more services in healthcare domain. It has been shown that mobile ...
BACKGROUND: Miscellaneous features from various domains are accepted to be associated with the risk ...
Falls are the leading cause of injury-related morbidity and mortality among older adults. Over 90Â % ...