The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

This paper discusses the promising areas of research into machine learning applications for
the prevention and correction of neurodegenerative and depressive disorders. These two …

Background: The progressive aging of populations, primarily in the industrialized western
world, is accompanied by the increased incidence of several non-transmittable diseases …

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 …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
individuals worldwide, causing severe cognitive decline and memory impairment. The early …

The manual optimization of hyperparameters is a straightforward and well-known approach,
but it is not scalable, particularly when there are several settings and options. In nearly every …

Abstract Context: Artificial Intelligence (AI) in the medical domain has achieved remarkable
results on various metrics primarily due to recent advancements in computational …

Dementia is a major neurocognitive disease which affects memory, thinking skills, attitudes,
and social behavior, extremely causing disturbances in daily routine activities and social …

While most contemporary algorithms typically utilize MRI data from a single plane, this study
highlights the importance of incorporating multiplanar MRI features for enhanced …

Alzheimer's disease (AD) is a progressively debilitating disease commonly affecting the
elderly. Correct diagnosis is important for patients to access suitable therapies and support …