The Bridge2AI-voice application: initial feasibility study of voice data acquisition through mobile health
Findings suggest that the Bridge2AI-Voice application is a promising tool for voice data acquisition in a clinical setting. However, development of improved User Interface/User Experience and broader, diverse feasibility studies are needed for a usable tool.<b>Level of evidence</b>: 3.
Authors
- Alexandros Sigaras (ORCID: https://orcid.org/0000-0002-7607-559X)
- Yassmeen Abdel‐Aty (ORCID: https://orcid.org/0000-0002-9798-5912)
- Stephanie Watts (ORCID: https://orcid.org/0000-0002-6805-1977)
- Yaël Bensoussan (ORCID: https://orcid.org/0000-0002-1635-8627)
- Micah Boyer (ORCID: https://orcid.org/0000-0002-2825-3726)
- Olivier Elemento (ORCID: https://orcid.org/0000-0002-8061-9617)
- Anaïs Rameau (ORCID: https://orcid.org/0000-0003-1543-2634)
- Satrajit Ghosh (ORCID: https://orcid.org/0000-0001-7657-2214)
- Elijah Moothedan
Institutions
- McGovern Institute for Brain Research (US)
- Cornell University (US)
- University of South Florida (US)
- Lander Institute (IL)
- Florida Atlantic University (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-04-15
- DOI
- https://doi.org/10.3389/fdgth.2025.1514971
- Citations
- 1
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.16