Stakeholder perspectives on artificial intelligence in schizophrenia care
Background Artificial intelligence (AI) is explored as a tool to expand access to mental health care, offering support and self-disclosure. To date, the perspectives of individuals with schizophrenia on AI have been absent from the medical literature. This exploratory study represents an effort to report schizophrenia patient perspectives on AI chatbots through a focus group. Methods We conducted an exploratory, cross-sectional, qualitative study using semi-structured focus groups at a large academic health cent…
Participants with schizophrenia recognized an AI companion as a potentially accessible source of support between clinical visits.
Participants identified trust as the central barrier to using an AI companion, driven by privacy concerns and vulnerabilities specific to schizophrenia.
Findings are exploratory and based on a small, single-site qualitative sample, limiting generalizability beyond this New York City academic center.
Evidence
- Peer-reviewedPsychological Medicine2026-09-09
How should this claim be treated?
Truvace Impact Record TRV-2026-1046, v1: “Stakeholder perspectives on artificial intelligence in schizophrenia care.” Truvace, 2026-09-10. /record/TRV-2026-1046 (accessed at citation time). sha256 582765e2b7a6a72d…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-1046 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace