Alzheimer's Disease (AD) is a worldwide concern impacting millions of people, with no
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …

Recent years have witnessed a surge of sophisticated computer-aided diagnosis techniques
involving Artificial Intelligence (AI) to accurately diagnose and classify Alzheimer's disease …

Electroencephalography (EEG) signals are low cost and available data for diagnosis of
mental disorders such as Alzheimer's diseases (AD). Each EEG signal contains information …

The use of electroencephalography (EEG) has recently grown as a means to diagnose
neurodegenerative pathologies such as Alzheimer's disease (AD). AD recognition can …

This article presents a systematic review using PRISMA methodology to explore trends in
the use of machine and deep learning in diagnosing and detecting Alzheimer's disease …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects memory
and cognitive function. Early diagnosis of AD is important for timely intervention and …

Few-shot learning is used in the development of models that can acquire novel class
concepts from limited training samples, facilitating rapid adaptation to novel, intricate, and …

Epilepsy is one of the most common neurological diseases, affecting approximately 50
million people. This illness can be diagnosed by electroencephalogram (EEG), whose …

Alzheimer's disease (AD) is a neurological disorder characterized by cognitive decline and
memory loss. An early and precise diagnosis of Alzheimer's disease is critical for effective …

Tourette Syndrome (TS) is a hereditary condition characterized by involuntary motor and
vocal actions. Although there is no cure for TS, various prescription medications are typically …