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AI-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Imaging and High-Speed Eye-Tracking

NCT06511713 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2024-07-23

No results posted yet for this study

Summary

This project aims to collect eye-tracking trajectories and fundus imaging data from individuals seeking mental health services. By utilizing artificial intelligence, combining dynamic (eye-tracking) and static (fundus) data, and employing convolutional neural network analysis methods, the investigators will develop models for the classification and early warning of common mental disorders. These models will assist clinicians in making objective diagnoses of common mental disorders and in predicting the risk of adverse outcomes, thereby addressing the significant technical bottleneck of the current lack of objective diagnostic and warning instruments for mental disorders.

Conditions

  • Mental Disorder

Interventions

OTHER

routine clinical treatment

Participants will be informed that this is not a treatment study and it involves naturalistic follow-up without any extra intervention. They will otherwise follow the routine clinical treatment procedure.

Sponsors & Collaborators

  • Shanghai Mental Health Center

    lead OTHER

Principal Investigators

  • TianHong Zhang, Doctor · Shanghai Mental Health Center

Eligibility

Min Age
15 Years
Max Age
45 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-07-20
Primary Completion
2025-12-30
Completion
2025-12-30

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 NCT06511713 on ClinicalTrials.gov