Translating AI research into reality: summary of the 2025 voice AI Symposium and Hackathon

The 2025 Voice AI Symposium represented a transition from conceptual research to clinical implementation in vocal biomarker science. Hosted by the NIH-funded Bridge2AI-Voice consortium, the meeting convened global experts to address the methodological, ethical, and translational challenges of integrating voice-based artificial intelligence (AI) into healthcare. This mini-review synthesizes symposium insights across six domains: multimodal integration, FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) data governance, clinical translation, interdisciplinary training, and cross-sector innovation. Research presented demonstrated voice as a latent, multimodal biomarker reflecting neurological, cardiopulmonary, and psychological states, while discussions emphasized ethical data practices and human-centered design. The implementation-focused panels underscored the importance of workflow alignment and usability for adoption in real-world care. Collectively, the symposium reflects a field advancing toward translational readiness and ethical accountability, positioning voice AI as a scalable, inclusive tool for next-generation healthcare.

Authors

Institutions

Publication Details

Journal
Frontiers in Digital Health
Published
2026-03-16
DOI
https://doi.org/10.3389/fdgth.2026.1754426
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Translating AI research into reality: summary of the 2025 voice AI Symposium and Hackathon

Keith Comito, Aarush Mathur, Arianna Arienzo, Camille Noufi et al.
Frontiers in Digital Health
Artificial Intelligence in Healthcare and Education
article

Translating AI research into reality: summary of the 2025 voice AI Symposium and Hackathon

Keith Comito, Aarush Mathur, Arianna Arienzo, Camille Noufi, S Saha, Jaskanwal Deep Singh Sara, Majnu John, Yan Fossat, Hortense Gallois, R. Au, Tanya Talkar, Yaël Bensoussan, Steven Bedrick, Abir Elbéji, Lampros Kourtis, Daria Hemmerling, Ruth Huntley Bahr, Karim Hanna, Konrad Zieliński, Fabio Catania, Alexander H. Gelbard, Tarun Mehra, Stephanie Martinez, Sebastien Baur, Nicholas Cummins, Bradley Malin, Yan Cong, Julian Peller, Katie Wetstone, Nihar R. Mahapatra, Bob MacDonald, James Anibal, Guy Fagherrazi, Jamie Toghranegar, Greg Hale, Samantha Salvi Cruz, Oita C Coleman, Kathleen Curp, Alden Blatter, Jean-Christophe Bélisle-Pipon, Stephanie Watts, Rupal Patel, Maria Powell, Marisha Speights, Anaïs Rameau, Hugo Botha, Satrajit Ghosh, Katie Dorsey, Jordan Lerner-Ellis, Cynthia Kostelnik, Amir Lahav, Ishaan Mahapatra, Andrea Krussel, Hoan Ngo
article en

Abstract

The 2025 Voice AI Symposium represented a transition from conceptual research to clinical implementation in vocal biomarker science. Hosted by the NIH-funded Bridge2AI-Voice consortium, the meeting convened global experts to address the methodological, ethical, and translational challenges of integrating voice-based artificial intelligence (AI) into healthcare. This mini-review synthesizes symposium insights across six domains: multimodal integration, FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) data governance, clinical translation, interdisciplinary training, and cross-sector innovation. Research presented demonstrated voice as a latent, multimodal biomarker reflecting neurological, cardiopulmonary, and psychological states, while discussions emphasized ethical data practices and human-centered design. The implementation-focused panels underscored the importance of workflow alignment and usability for adoption in real-world care. Collectively, the symposium reflects a field advancing toward translational readiness and ethical accountability, positioning voice AI as a scalable, inclusive tool for next-generation healthcare.

Frontiers in Digital HealthVol. 8
Boston University (US), Northwestern University (US), Meharry Medical College (US), Microsoft (United States) (US), Northeastern University (US), Google (United States) (US), Bionics Institute (AU), McGovern Institute for Brain Research (US), Florida Southern College (US), Oregon Health & Science University (US), Simon Fraser University (CA), King's College London (GB), University of Toronto (CA), Washington University in St. Louis (US), Cornell University (US), Purdue University West Lafayette (US), University of South Florida (US), University High School (US), University of Oxford (GB), Northwestern University (PH), Luxembourg Institute of Health (LU), Mount Sinai Hospital (US), Open Society (CZ), Academy of Labour and Social Relations (RU), Mayo Clinic in Arizona (US), Life Extension Foundation (US), KLE Academy of Higher Education and Research (IN), South Dakota Foundation for Medical Care (US), Dermatology Foundation (US), Walt Disney (United States) (US), Linus (Norway) (NO), Consumer VOICE (IN), Voice of America (United States) (US), Takeda (Japan) (JP), Massachusetts Institute of Technology (US), AGH University of Krakow (PL), Michigan State University (US), Amref Health Africa (TZ), Vanderbilt University Medical Center (US)
National Institutes of Health, Common Fund
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.