Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …

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

Purpose: Automated remote assessment and monitoring of patients' neurological and
mental health is increasingly becoming an essential component of the digital clinic and …

Purpose: The aim of this study was to conduct a sco** review of research on oral and
laryngeal diadochokinesis (DDK) in children and adults, either typically …

The steady progress in consumer electronics, together with improvement in microflow
techniques, nanotechnology, and data processing, has led to implementation of cost …

In response to uncovering brain mechanisms underlying vocal communication and
searching for biomarkers for mental illnesses, speech prosody has been increasingly …

This perspective article explores the challenges and potential of using speech as a
biomarker in clinical settings, particularly when constrained by the small clinical datasets …

The dementia population is increasing as the world's population is growing older. The
current systematic review aims to identify digital cognitive biomarkers from computerized …

Purpose: Over the past decade, the signal processing and machine learning literature has
demonstrated notable advancements in automated speech processing with the use of …

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that
severely impacts affected persons' speech and motor functions, yet early detection and …