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 …

We performed a systematic review of studies focusing on the automatic prediction of the
progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a …

Background: Despite the increasing availability in brain health related data, clinically
translatable methods to predict the conversion from Mild Cognitive Impairment (MCI) to …

Abstract In Mild Cognitive Impairment (MCI), identifying a high risk of conversion to
Alzheimer's Disease Dementia (AD) is a primary goal for patient management. Machine …

Abstract Background Early diagnosis of Alzheimer's disease (AD) and its onset in subjects
affected by mild cognitive impairment (MCI) based on structural MRI features is one of the …

Some forms of mild cognitive impairment (MCI) are the clinical precursors of Alzheimer's
disease (AD), while other MCI types tend to remain stable over-time and do not progress to …

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 …

Alzheimer's disease (AD) is an irreversible neurodegenerative disease characterized by
thinking, behavioral and memory impairments. Early prediction of conversion from mild …

Introduction It is challenging at baseline to predict when and which individuals who meet
criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease …

Introduction Advanced machine learning methods might help to identify dementia risk from
neuroimaging, but their accuracy to date is unclear. Methods We systematically reviewed the …