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RECRUITING
NCT06511713

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

Sponsor: Shanghai Mental Health Center

View on ClinicalTrials.gov

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.

Official title: Artificial Intelligence-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Images and High-Speed Eye-Tracking Trajectories

Key Details

Gender

All

Age Range

15 Years - 45 Years

Study Type

OBSERVATIONAL

Enrollment

2000

Start Date

2024-07-20

Completion Date

2025-12-30

Last Updated

2024-07-23

Healthy Volunteers

No

Conditions

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.

Locations (1)

Shanghai Mental Health Center

Shanghai, Shanghai Municipality, China