SPEAK-SAFE: secure processing of electronic audio for knowledge in suicide assessment from therapeutic exchanges
During the implementation of our research project, we were faced with challenges regarding the security of patient privacy and the technical implementation of therapy recordings toreassure sufficient data quality for the data analysis. Therefore, in addition to improve the suicidality prediction with multimodal methods we will develop an end-to-end-workflow for further AI-research in the clinical context.<b>Clinical Trial Registration</b>: https://drks.de/search/de/trial/DRKS00027878, identifier DRKS00027878.
Authors
- P. Getty
- Anmol Goel (ORCID: https://orcid.org/0009-0009-4807-2402)
- Rebekka Stadje
- Caroline Gruler (ORCID: https://orcid.org/0009-0004-8044-496X)
- A. Reif
- Iryna Gurevych
- O. Grimm
- Sofia Arampatzi
- Aishik Mandal
- Christopher Landau
Institutions
- Goethe University Frankfurt (DE)
- Hess (United States) (US)
- Technische Universität Darmstadt (DE)
- Fraunhofer Institute for Translational Medicine and Pharmacology (DE)
- University Hospital Frankfurt (DE)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-02-24
- DOI
- https://doi.org/10.3389/fdgth.2026.1616955
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00