TY - JOUR
T1 - Translating AI research into reality
T2 - summary of the 2025 voice AI Symposium and Hackathon
AU - Salvi Cruz, Samantha
AU - Toghranegar, Jamie
AU - Malin, Bradley
AU - Mehra, Tarun
AU - MacDonald, Bob
AU - Speights, Marisha
AU - Noufi, Camille
AU - Fossat, Yan
AU - Cummins, Nicholas
AU - Elbeji, Abir
AU - Blatter, Alden
AU - Gelbard, Alexander
AU - Arienzo, Arianna
AU - Baur, Sebastien
AU - Wetstone, Katie
AU - Peller, Julián
AU - Au, Rhoda
AU - Botha, Hugo
AU - Lahav, Amir
AU - Hemmerling, Daria
AU - Catania, Fabio
AU - Anibal, James
AU - Saha, Shumit
AU - Coleman, Oita
AU - Gallois, Hortense
AU - Avila Martinez, Sophia
AU - Mahapatra, Nihar
AU - Singh Sara, Jaskanwal Deep
AU - Mathur, Aarush
AU - Patel, Rupal
AU - Zieliński, Konrad
AU - Kourtis, Lampros
AU - Lerner-Ellis, Jordan
AU - Cong, Yan
AU - Ngo, Hoan
AU - Talkar, Tanya
AU - Hale, Greg
AU - Comito, Keith
AU - Ghosh, Satrajit
AU - Watts, Stephanie
AU - Bedrick, Steven
AU - Powell, Maria
AU - Bélisle-Pipon, Jean Christophe
AU - Krussel, Andrea
AU - Mahapatra, Ishaan
AU - Bahr, Ruth
AU - Hanna, Karim
AU - Kostelnik, Cynthia
AU - Dorsey, Katie
AU - The Bridge2AI-Voice Consortium
AU - Fagherazzi, Guy
N1 - Publisher Copyright:
2026 Salvi Cruz, Toghranegar, Malin, Mehra, MacDonald, Speights, Noufi, Fossat, Fagherrazi, Cummins, Elbeji, Blatter, Gelbard, Arienzo, Baur, Wetstone, Peller, Au, Botha, Lahav, Hemmerling, Catania, Anibal, Saha, Coleman, Gallois, Avila Martinez, Mahapatra, Singh Sara, Mathur, Patel, Zieliński, Kourtis, Lerner-Ellis, Cong, Ngo, Talkar, Hale, Comito, Ghosh, Watts, Bedrick, Powell, Bélisle-Pipon, Krussel, Mahapatra, Bahr, Hanna, Kostelnik, Dorsey, John, Curp, Rameau, The Bridge2AI-Voice Consortium and Bensoussan.
© 2026 Salvi Cruz, Toghranegar, Malin, Mehra, MacDonald, Speights, Noufi, Fossat, Fagherrazi, Cummins, Elbeji, Blatter, Gelbard, Arienzo, Baur, Wetstone, Peller, Au, Botha, Lahav, Hemmerling, Catania, Anibal, Saha, Coleman, Gallois, Avila Martinez, Mahapatra, Singh Sara, Mathur, Patel, Zieliński, Kourtis, Lerner-Ellis, Cong, Ngo, Talkar, Hale, Comito, Ghosh, Watts, Bedrick, Powell, Bélisle-Pipon, Krussel, Mahapatra, Bahr, Hanna, Kostelnik, Dorsey, John, Curp, Rameau, The Bridge2AI-Voice Consortium and Bensoussan.
PY - 2026/3/16
Y1 - 2026/3/16
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - clinical translation
KW - multimodal data
KW - vocal biomarkers
KW - voice AI
UR - https://www.scopus.com/pages/publications/105034540368
UR - https://pubmed.ncbi.nlm.nih.gov/41918982/
U2 - 10.3389/fdgth.2026.1754426
DO - 10.3389/fdgth.2026.1754426
M3 - Short survey
C2 - 41918982
AN - SCOPUS:105034540368
SN - 2673-253X
VL - 8
JO - Frontiers in Digital Health
JF - Frontiers in Digital Health
M1 - 1754426
ER -