Alzheimer's disease (AD) affects more than six million Americans and is the seventh leading
cause of death in the United States. Artificial intelligence (AI), specifically natural language …

Abstract Alzheimer's Disease (AD), the most common form of dementia, is a
neurodegenerative condition which evolves over time. Patients experience short-term …

Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …

Introduction: Research related to the automatic detection of Alzheimer's disease (AD) is
important, given the high prevalence of AD and the high cost of traditional diagnostic …

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 …

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

The development of noninvasive and cost-effective methods of detecting Alzheimer's
disease (AD) is essential for its early prevention and mitigation. We optimize the detection of …

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 …

Disfluencies and language problems in Alzheimer's Disease can be naturally modeled by
fine-tuning Transformer-based pre-trained language models such as BERT and ERNIE …

Alzheimer's disease (AD) is a significant global health challenge, characterized by
progressive neurodegeneration leading to severe cognitive decline. Early diagnosis of AD is …