Background Prior research has associated spoken language use with depression, yet
studies often involve small or non-clinical samples and face challenges in the manual …

One of the central social challenges of the 21st century is society's aging. AI provides
numerous possibilities for meeting this challenge. In this context, the concept of digital twins …

Background Digital speech assessment has potential relevance in the earliest, preclinical
stages of Alzheimer's disease (AD). We evaluated the feasibility, test-retest reliability, and …

The monitoring of depressed mood plays an important role as a diagnostic tool in
psychotherapy. An automated analysis of speech can provide a non-invasive measurement …

Background Remote assessment of acoustic alterations in speech holds promise to increase
scalability and validity in research across the psychosis spectrum. A feasible first step in …

Background While speech analysis holds promise for mental health assessment, research
often focuses on single symptoms, despite symptom co-occurrences and interactions. In …

Background The use of digital biomarkers through remote patient monitoring offers valuable
and timely insights into a patient's condition, including aspects such as disease progression …

Abstract Background Eating disorders (EDs) are serious, often chronic, conditions
associated with pronounced morbidity, mortality, and dysfunction increasingly affecting …

Current nosology claims to separate mental disorders into distinct categories that do not
overlap with each other. This nosological separation is not based on underlying …

Background: The integration of digital biomarkers and remote patient monitoring offers
valuable and timely insights into a patient's management of their condition, including …