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

For incurable diseases, such as multiple sclerosis (MS), the prevention of progression and
the preservation of quality of life play a crucial role over the entire therapy period. In MS …

COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …

We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …

Background Transfer learning is a form of machine learning where a pre-trained model
trained on a specific task is reused as a starting point and tailored to another task in a …

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

Recent years have witnessed a strongly increasing interest in digital technology within
medicine (sensor devices, specific smartphone apps) and specifically also neurology …

The Covid-19 pandemic is one of the most significant global health concerns that have
emerged in this decade. Intelligent healthcare technology and techniques based on speech …

Objectives With the attention paid to the early diagnosis of depression, this study tries to use
the biological information of speech, combined with deep learning to build a rapid binary …

Digital biomarkers are defined as objective, quantifiable physiological and behavioral data
that are collected and measured by means of digital devices. Their use has revolutionized …