This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3390) Machine Learning (2195) Natural Language Processing (941) Computer-Aided Diagnosis (273) Digital Biomarkers and Digital Phenotyping (311) Voice Phenotyping and Vocal Biomarkers (22) ENT (Ear, Nose, Throat) (38) Respiratory Medicine (165)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86069, first published .
Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study

Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study

Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study

Authors of this article:

Cyril Varghese1 Author Orcid Image ;   Jianwei Zhang2 Author Orcid Image ;   Sara Charney3 Author Orcid Image ;   Abdelmohaymin A Abdalla1 Author Orcid Image ;   Elizabeth Reeves3 Author Orcid Image ;   Stacy Holyfield3 Author Orcid Image ;   Adam E Brown4 Author Orcid Image ;   Michelle K Higgins4 Author Orcid Image ;   Hunter Stearns4 Author Orcid Image ;   Julie Liss5 Author Orcid Image ;   Nan Zhang6 Author Orcid Image ;   Diana Orbelo7 Author Orcid Image ;   Rebecca L Pittelko7 Author Orcid Image ;   Lindsay Rigelman7 Author Orcid Image ;   Victor Ortega8 Author Orcid Image ;   David G Lott3 Author Orcid Image ;   Visar Berisha2 Author Orcid Image
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