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 …

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 …

Current methods for early diagnosis of Alzheimer's Dementia include structured
questionnaires, structured interviews, and various cognitive tests. Language difficulties are a …

Dementia can affect a person's speech and language abilities, even in the early stages.
Dementia is incurable, but early detection can enable treatment that can slow down and …

Almost 50 million individuals throughout the world suffer from Alzheimer's disease (AD), a
disease of the nervous system. There are no licensed medications on the market right now …

Alzheimer's dementia (AD) is a chronic neurodegenerative illness that manifests in a
gradual decline of cognitive function. Early identification of AD is essential for managing the …

Alzheimer's disease (AD) is considered as one of the leading causes of death among
people over the age of 70 that is characterized by memory degradation and language …

Background: We developed transformer-based deep learning models based on natural
language processing for early diagnosis of Alzheimer's disease from the picture description …

In this work, we propose a modular multi-modal architecture to automatically detect
Alzheimer's disease using the dataset provided in the ADReSSo challenge. Both acoustic …

Alzheimer's disease (AD) is a neurodegenerative disease involving the decline of cognitive
ability with illness progresses. At present, the diagnosis of AD mainly depends on the …