Voice EHR: introducing multimodal audio data for health

IntroductionArtificial intelligence (AI) models trained on audio data may have the potential to rapidly perform clinical tasks, enhancing medical decision-making and potentially improving outcomes through early detection. Existing technologies depend on limited datasets collected with expensive reco...

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Main Authors:	James Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Veronica Daoud, Dominique Ebedes, Yen Minh Lam, Hang Nguyen, Phuc Vo Hong, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekawati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, David Clifton, C. Louise Thwaites, Yael Bensoussan, Bradford Wood
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Digital Health
Subjects:	AI for health natural language processing large language models (LLM) multimodal data voice biomarkers
Online Access:	https://www.frontiersin.org/articles/10.3389/fdgth.2024.1448351/full
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Voice EHR: introducing multimodal audio data for health

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