Alzheimer's and related diseases are significant health issues of this era. The
interdisciplinary use of deep learning in this field has shown great promise and gathered …

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

“Alzheimer's disease”(AD) is a neurodegenerative disorder in which the memory shrinks and
neurons die.“Dementia” is described as a gradual decline in mental, psychological, and …

Deep learning, a state-of-the-art machine learning approach, has shown outstanding
performance over traditional machine learning in identifying intricate structures in complex …

Examination of speech datasets for detecting dementia, collected via various speech tasks,
has revealed links between speech and cognitive abilities. However, the speech dataset …

Alzheimer's disease (AD) is one of the deadliest neurodegenerative diseases ailing the
elderly population all over the world. An ensemble of Deep learning (DL) models can learn …

A growing body of evidence currently proposes that deep learning approaches can serve as
an essential cornerstone for the diagnosis and prediction of Alzheimer's disease (AD). In …

Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …

Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …

Worldwide, there are nearly 10 million new cases of dementia annually, of which
Alzheimer's disease (AD) is the most common. New measures are needed to improve the …