AI-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Imaging and High-Speed Eye-Tracking
Artificial Intelligence-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Images and High-Speed Eye-Tracking Trajectories
Shanghai Mental Health Center
2,000 participants
Jul 20, 2024
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria9
- be aged 14 to 45-year-old
- have had at least 6-years of primary education
- be drug-naïve
- be understanding the survey, be willing to enrol in the study and sign the informed consent
- Through the Structured Interview for Prodromal Syndromes/Scale of Prodromal Symptoms (SIPS/SOPS), the participants should meet the Criteria of Prodromal Syndrome. Participants should fulfil at least one of the prodromal syndrome criteria: (1) brief intermittent psychotic syndrome, (2) attenuated positive symptom syndrome, or (3) genetic risk and deterioration syndrome
- Meets ICD-11 diagnostic criteria for schizophrenia
- Meets ICD-11 diagnostic criteria for mood disorders
- Meets ICD-11 diagnostic criteria for anxiety disorders
- Meets ICD-11 diagnostic criteria for neurocognitive disorders
Exclusion Criteria8
- Acute or chronic renal failure; liver cirrhosis or active liver diseases
- Abnormal laboratory tests results judged by the researchers to be clinically significant and considered to affect the efficacy of the test drugs or the safety of the subjects
- Severe or unstable physical diseases, including: neurological disorders (delirium, dementia, stroke, epilepsy, migraine, etc.), congestive heart failure, angina pectoris, myocardial infarction, arrhythmia, hypertension (including untreated or uncontrolled hypertension), malignant tumours, immune compromise, and blood glucose above 12 mmol/L
- Alcohol abuse within 30 days, or alcohol or drug dependence within 6 months before the trial
- Pregnant or lactating women, or women in childbearing age who are positive in urine human chorionic gonadotropin test, or men and women who do not take effective contraceptive measures or plan for pregnancy within 3 months after the initiation of the trial
- Stroke within the last month
- Participating in any clinical trial within 30 days before the baseline
- Other situations judged by the investigators not to be suitable for the clinical trial
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Interventions
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)
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NCT06511713