Condition: Psychotic Disorder · Sponsor: Philipp Homan
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.
This description comes directly from the study's public registry record.
Philipp Homan, Prof. Dr. med. univ. PhD · +41 58 384 33 65 · philipp.homan@bli.uzh.ch
Always discuss trial participation with your own doctor first.
| National Institute of Mental Health | Klecany, Czechia | Not Yet Recruiting |
| Newcastle Hospital and RCSI University of Medicine and Health Sciences | Greystones, Wicklow, Ireland | Not Yet Recruiting |
| University Medical Center Groningen | Groningen, Netherlands | Not Yet Recruiting |
| The Arctic University of Norway | Tromsø, Norway | Active Not Recruiting |
| University Hospital Geneva and University of Geneva | Geneva, Chêne-Bourg, Switzerland | Not Yet Recruiting |
| Psychiatric University Hospital Zurich and University of Zurich | Zurich, Switzerland | Recruiting |
| Dokuz Eylul University | Izmir, Turkey (Türkiye) | Not Yet Recruiting |
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Source record: clinicaltrials.gov/study/NCT07397975