Artificial intelligence (AI) approaches pose a great opportunity for individualized, pre-
symptomatic disease diagnosis which plays a key role in the context of personalized …

Progress in dementia research has been limited, with substantial gaps in our knowledge of
targets for prevention, mechanisms for disease progression, and disease-modifying …

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 …

Introduction Artificial intelligence (AI) and neuroimaging offer new opportunities for
diagnosis and prognosis of dementia. Methods We systematically reviewed studies …

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 …

This study presents a machine learning-driven approach designed to address the intricate
challenges of Alzheimer's disease (AD) diagnosis and prognosis. Leveraging a diverse …

Background An increase in lifespan in our society is a double-edged sword that entails a
growing number of patients with neurocognitive disorders, Alzheimer's disease being the …

Quantifying the risk of progression to Alzheimer's disease (AD) could help identify persons
who could benefit from early interventions. We used data from the Alzheimer's Disease …

Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap
across etiologies, yet it is crucial for formulating early, personalized management strategies …

Prognosis of Alzheimer's disease (AD) progression has been recognized as a challenging
problem due to the massive numbers of cognitive, and pathological features recorded for …