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AI-Powered Mental Health Screening in University Students

NCT07092085 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 17386

Last updated 2025-07-29

No results posted yet for this study

Summary

The goal of this observational study is to test an artificial intelligence (AI) tool that can help screen for mental health risks . The main questions it aims to answer are:

Can an AI model that analyzes a person's voice, facial expressions, and language accurately identify students who may be at high risk for mental health conditions, such as depression or OCD?

How accurate is the AI model when compared to results from standard mental health questionnaires?

Participants will be asked to:

Complete a standard mental health questionnaire.

Provide consent for their data to be used in the research.

Participate in a recorded session to collect video and audio data for the AI model to analyze.

Conditions

  • Mental Disease

Interventions

DIAGNOSTIC_TEST

AI model

An AI model provides an objective and rapid assessment of potential mental health risks in students by holistically analyzing their facial expressions, vocal characteristics, and linguistic content from data.

Sponsors & Collaborators

  • The Eye Hospital of Wenzhou Medical University

    lead OTHER

Eligibility

Min Age
14 Years
Max Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-03-01
Primary Completion
2025-02-01
Completion
2025-04-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07092085 on ClinicalTrials.gov