Prediction of suicide using web based voice recordings analyzed by artificial intelligence

Prediction of suicide using web based voice recordings analyzed by artificial intelligence

Abstract The integration of machine learning (ML) and deep learning models in suicide risk assessment has advanced significantly in recent years. In this study, we utilized ML in a case-control design, we predicted completed suicides using publicly available, web-based, real-world voice data, and tr...

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Bibliographic Details
Main Authors: Agnieszka Ewa Krautz, Julia Volkening, Janik Raue, Christian Otte, Simon B. Eickhoff, Eike Ahlers, Jörg Langner
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Suicide
Voice biomarker
Artificial intelligence
Machine learning
Mental health diagnostics
Online Access:https://doi.org/10.1038/s41598-025-08639-2
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https://doi.org/10.1038/s41598-025-08639-2

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