Alzheimer's disease (AD) is a major healthcare challenge with no curative treatment at
present. To address this challenge, we need a paradigm shift, where we focus on pre …

Purpose: Dementia from Alzheimer's disease (AD) is characterized primarily by a significant
decline in memory abilities; however, language abilities are also commonly affected and …

Background Technological devices such as smartphones, wearables, sensors, or virtual
assistants allow to collect data on health and disease processes and are thus increasingly …

This paper presents a novel approach for automated dysarthria detection and severity
assessment using a variable short-time Fourier transform layered convolutional neural …

Dysarthria is a speech disorder that affects the ability to communicate due to articulation
difficulties. This research proposes a novel method for automatic dysarthria detection (ADD) …

Purpose: Multiple methods have been suggested for quantifying syntactic complexity in
speech. We compared eight automated syntactic complexity metrics to determine which best …

Objective This study investigates the possibility of adopting motor and cognitive dual-task
(MCDT) approaches to identify subjects with mild cognitive impairment (MCI) and subjective …

Dysarthria is a medical condition that impairs an individual's ability to speak clearly due to
muscle weakness or paralysis. To diagnose and monitor dysarthria severity, this article …

Introduction We are developing the California Cognitive Assessment Battery (CCAB) to
provide neuropsychological assessments to patients who lack test access due to cost …

Objective Early detection of cognitive impairment in the elderly is crucial for diagnosis and
appropriate care. Brief, cost-effective cognitive screening instruments are needed to help …