Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

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 …

Approximately one billion individuals suffer from mental health disorders, such as
depression, bipolar disorder, schizophrenia, and anxiety. Mental health professionals use …

Alzheimer's disease (AD) is a neurodegenerative syndrome which affects tens of millions of
elders worldwide. Although there is no treatment currently available, early recognition can …

The prevalence of dementia is currently increasing worldwide. This syndrome produces a
deterioration in cognitive function that cannot be reverted. However, an early diagnosis can …

In recent years, computer science has made major advances in understanding drawing
behavior. Artificial intelligence, and more precisely deep learning, has displayed …

Background Mild cognitive impairment (MCI) is an early stage of cognitive decline which
could develop into dementia. An early detection of MCI is a crucial step for timely prevention …

Hand drawing, which requires multiple neural systems for planning and controlling
sequential movements, is a useful cognitive test for older adults. However, the conventional …

Introduction Emerging and advanced technologies in the field of Artificial Intelligence (AI)
represent promising methods to predict and diagnose neurodegenerative diseases, such as …