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 …

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 …

Deep learning (DL) has substantially enhanced natural language processing (NLP) in
healthcare research. However, the increasing complexity of DL-based NLP necessitates …

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 …

Background Artificial intelligence models tailored to diagnose cognitive impairment have
shown excellent results. However, it is unclear whether large linguistic models can rival …

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 …

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 …

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 …