Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice.
Autor: | Fagherazzi G; Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg., Fischer A; Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg., Ismael M; IT for Innovation in Services Department (ITIS), Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg., Despotovic V; Department of Computer Science, Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg. |
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Jazyk: | angličtina |
Zdroj: | Digital biomarkers [Digit Biomark] 2021 Apr 16; Vol. 5 (1), pp. 78-88. Date of Electronic Publication: 2021 Apr 16 (Print Publication: 2021). |
DOI: | 10.1159/000515346 |
Abstrakt: | 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 opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes. We discuss the potential of this rapidly evolving environment from a research, patient, and clinical perspective. We also discuss the key challenges to overcome in the near future for a substantial and efficient use of voice in healthcare. Competing Interests: The authors have no conflicts of interest to declare. (Copyright © 2021 by S. Karger AG, Basel.) |
Databáze: | MEDLINE |
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