Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …

Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …

Alzheimer disease (AD) is a progressive neurologic disorder that causes the brain to shrink
(atrophy) and brain cells to die. Alzheimer disease is the most common cause of dementia …

Background Transfer learning is a form of machine learning where a pre-trained model
trained on a specific task is reused as a starting point and tailored to another task in a …

Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …

Introduction Machine learning research into automated dementia diagnosis is becoming
increasingly popular but so far has had limited clinical impact. A key challenge is building …

Alzheimer's disease (AD) is a neurodegenerative disease that is difficult to be detected
using convenient and reliable methods. The language change in patients with AD is an …

Alzheimer's dementia (AD) entails negative psychological, social, and economic
consequences not only for the patients but also for their families, relatives, and society in …

Alzheimer's disease and related dementias (ADRD) present a looming public health crisis,
affecting roughly 5 million people and 11% of older adults in the United States. Despite …

Detecting early signs of cognitive decline is crucial for early detection and treatment of
Alzheimer's Disease. Most of the current screening tools for Alzheimer's Disease represent a …