The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

There is a pressing need to capture and track subtle cognitive change at the preclinical
stage of Alzheimer's disease (AD) rapidly, cost‐effectively, and with high sensitivity …

Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …

Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …

Background Among areas that have challenged the progress of dementia care has been the
assessment of change in symptoms over time. Digital biomarkers are defined as objective …

Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …

Background: Even today the reliable diagnosis of the prodromal stages of Alzheimer's
disease (AD) remains a great challenge. Our research focuses on the earliest detectable …

Speech represents a promising novel biomarker by providing a window into brain health, as
shown by its disruption in various neurological and psychiatric diseases. As with many novel …

Abstract Background and Objectives The number of people diagnosed with dementia is
rising appreciably as the population ages. In an effort to improve outcomes, many have …