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AI-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Imaging and High-Speed Eye-Tracking
Sponsor: Shanghai Mental Health Center
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
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