Background Innovative technologies, such as machine learning, big data, and artificial
intelligence (AI) are approaches adopted for personalized medicine, and psychological …

Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome
characterized by cognitive impairment severe enough to interfere with activities of daily life …

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 …

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

Post-operative cognitive dysfunction (POCD) is a neurological complication that relatively
frequently occurs in older people after anesthesia/surgery, with varying durations and …

In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders,
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …

The intervention at the stage of mild cognitive impairment (MCI) is promising for preventing
Alzheimer's disease (AD). This study aims to search for the optimal machine learning (ML) …

Alzheimer's Dementia (AD) is an incurable, debilitating, and progressive neurodegenerative
condition that affects cognitive function. Early diagnosis is important as therapeutics can …

Over the last decade, artificial intelligence in medicine has attracted much attention and
interest for its robust automation and efficiency in disease diagnosis, treatment and …

Abstract Alzheimer's disease (AD), a neurodegenerative disorder characterized by
progressive cognitive decline, is generally prevalent in elderly people with significant …