LLM Psychiatric Intake AI Clinical Performance Study

This study will evaluate the clinical performance and applicability of a large language model-based psychiatric intake support system for caregivers of patients undergoing an initial or re-intake psychiatric evaluation. Caregivers will complete a single adaptive AI interview remotely before the scheduled outpatient visit. The system will generate a structured clinician-facing report and diagnostic screening candidates for nine prespecified target conditions. Treating clinicians will review the AI-generated information while retaining full authority over the final clinical assessment and diagnosis. The system will be evaluated in terms of diagnostic-assistance performance, interview and information-collection performance, documentation quality, acceptability and user experience, and safety.