Speech-based Assessment of Relapse Risk in People With Psychosis
Recruiting now
Conditions studied: Psychotic Disorder
In brief
This observational, multinational study assesses the feasibility of speech and self-report data collection across six languages for Artificial Intelligence (AI)-driven relapse risk estimation in psychosis. Over 12 months, patients at risk of relapse and healthy controls will provide weekly speech recordings and self-report data for automated analysis. Risk scores will be stored but not shared with treating clinicians. Independent clinical evaluations ensure data quality and validation. The study lays the foundation for future Clinical Decision Support System (CDSS) research and explores novel speech markers for relapse prediction while minimizing participant burden.
Key facts
- Study ID
- NCT07397975
- Run by
- Philipp Homan
- People needed
- 360
- Starts
- 2026-01-29
- Expected to finish
- 2029-01-31
- Last updated by the study team
- 2026-02-09
Who can join
Age: 18 and older, up to 65. Sex: any. Healthy volunteers: accepted.
Where it is running
- Psychiatric University Hospital Zurich and University of Zurich — Zurich, Switzerland (enrolling)
- Newcastle Hospital and RCSI University of Medicine and Health Sciences — Greystones, Wicklow, Ireland
- University Medical Center Groningen — Groningen, Netherlands
- National Institute of Mental Health — Klecany, Czechia
- University Hospital Geneva and University of Geneva — Geneva, Chêne-Bourg, Switzerland
- Dokuz Eylul University — Izmir, Turkey (Türkiye)
- The Arctic University of Norway — Tromsø, Norway
Full record on ClinicalTrials.gov
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