Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice

Guy Fagherazzi; Aurélie Fischer; Muhannad Ismael; Vladimir Despotovic

doi:10.1159/000515346

Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice

Guy Fagherazzi^*, Aurélie Fischer, Muhannad Ismael, Vladimir Despotovic

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

89 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	78-88
Number of pages	11
Journal	Digital Biomarkers
Volume	5
Issue number	1
DOIs	https://doi.org/10.1159/000515346
Publication status	Published - 1 Jun 2021

Keywords

Artificial intelligence
COVID-19
Signal decomposition
Smart home
Vocal biomarker
Voice

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10.1159/000515346Licence: CC BY-NC

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abstract = "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.",

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note = "Funding Information: G.F. and A.F. are supported by the Luxembourg Institute of Health, Luxembourg National Research Fund (FNR; Predi-COVID, grant No. 14716273), and the Andr? Losch Foundation. M.I. and V.D. are supported by Luxembourg Institute of Science and Technology (LIST) and University of Luxembourg (UL), respectively, as well as by FNR (CDCVA, grant No. 14856868). Publisher Copyright: {\textcopyright} 2020 The Author(s).",

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AU - Ismael, Muhannad

AU - Despotovic, Vladimir

N1 - Funding Information: G.F. and A.F. are supported by the Luxembourg Institute of Health, Luxembourg National Research Fund (FNR; Predi-COVID, grant No. 14716273), and the Andr? Losch Foundation. M.I. and V.D. are supported by Luxembourg Institute of Science and Technology (LIST) and University of Luxembourg (UL), respectively, as well as by FNR (CDCVA, grant No. 14856868). Publisher Copyright: © 2020 The Author(s).

PY - 2021/6/1

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N2 - 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.

AB - 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.

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KW - COVID-19

KW - Signal decomposition

KW - Smart home

KW - Vocal biomarker

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Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice

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