Background Due to the class imbalance issue faced when Alzheimer's disease (AD)
develops from normal cognition (NC) to mild cognitive impairment (MCI), present clinical …

Artificial intelligence (AI) approaches pose a great opportunity for individualized, pre-
symptomatic disease diagnosis which plays a key role in the context of personalized …

Alzheimer's is a neurodegenerative disorder affecting the central nervous system and
cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition …

Deep learning technologies have played more and more important roles in Computer Aided
Diagnosis (CAD) in medicine. In this paper, we tackled the problem of automatic prediction …

The early diagnosis of Alzheimer's disease (AD) presents a significant challenge due to the
subtle biomarker changes often overlooked. Machine learning (ML) models offer a …

Using a number of Neural Network Models, we attempt to explore and explain the prediction
of Alzheimer's in patients in various stages of the disease, using MRI imaging data …

Background Early and accurate diagnosis of Alzheimer's disease (AD) is essential for
disease management and therapeutic choices that can delay disease progression. Machine …

Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that affects memory,
thinking, behavior, and other cognitive functions. Although there is no cure, detecting AD …

Alzheimer's Disease (AD) is a brain disorder that causes the brain to shrink and eventually
causes brain cells to die. This neurological condition progressively hampers cognitive and …

Although Alzheimer's disease is the most prevalent form of dementia, there are no
treatments capable of slowing disease progression. A lack of reliable disease endpoints …