From voice biomarkers to telemedicine screening: developing and evaluating a voice-based AI model for laryngeal lesion detection using the Bridge2AI-Voice dataset - Top-Institutions - MDSpire

From voice biomarkers to telemedicine screening: developing and evaluating a voice-based AI model for laryngeal lesion detection using the Bridge2AI-Voice dataset

By
Phillip D. Jenkins
Steven Bedrick
Lisa Karstens
William Hersh
the Bridge2AI-Voice Consortium
David A. Dorr
July 1, 2026
0 min

Frontiers In Digital Health

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Top Institutions in Otolaryngology

Brief introduction explaining scope and methodology.

#1

Bridge2AI-Voice

N/A, N/A
Key Differentiators
- Otolaryngology
#2

National Institutes of Health

Bethesda, MD
Key Differentiators
- Otolaryngology
#3

Dana-Farber Cancer Institute

Boston, MA
Key Differentiators
- Otolaryngology
#4

Brigham and Women's Hospital

Boston, MA
Key Differentiators
- Otolaryngology
#5

Mass General Brigham

Boston, MA
Key Differentiators
- Otolaryngology

Original Source(s)

Frontiers In Digital Health

From voice biomarkers to telemedicine screening: developing and evaluating a voice-based AI model for laryngeal lesion detection using the Bridge2AI-Voice dataset

by Phillip D. Jenkins, Steven Bedrick, Lisa Karstens, William Hersh, the Bridge2AI-Voice Consortium, David A. Dorr
July 1, 2026

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