Validation of the Accuracy of an AI-Based System for Diagnosing Anxiety Disorders
ConditionAnxiety Disorders
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-60
SponsorShanghai Mental Health Center
About this trial
The trial aimed to evaluate the efficacy of an artificial intelligence-based system for diagnosing anxiety disorders. Specifically, it sought to determine whether the system's assessment validity is non-inferior to that of psychiatric specialists.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Subjects with anxiety disorders
In accordance with ICD-11 for Anxiety Disorders;
Between the ages of 18-60;
Ability to use computers or smartphone;
Disqualifiers
With severe psychiatric symptoms requiring hospitalization, or unable to complete the required assessment and treatment;
With a high risk of suicide or self-injury;
With severe physical diseases, central nervous system diseases, or substance abuse;
With intellectual, visual, or auditory impairments that affect their ability to interact with aided-diagnostic systems.
Trial population
The study includes the subjects with anxiety disorders and healthy control into the experiment. Anxious individuals for the study will be recruited from actual outpatient patients at the Shanghai Mental Health Center. The healthy control will be recruited through public advertisements, both online and offline. Psychiatrists will be recruited through public advertisements by the Shanghai Mental Health Center.
Trial design
Design model
Case-control
Time perspective
Cross-sectional
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Diagnostic Accuracy (Sensitivity, Specificity, and Area Under the Curve) of the AI-Based Screening System for Anxiety Disorders
In this study, the evaluation results of the subjects were taken as the gold standard based on the diagnostic conclusions of psychiatrists. The screening results of the aided-diagnostic system were compared with the diagnostic conclusions of the psychiatrists to verify the screening effectiveness of this system. Sensitivity : Calculated as \[True Positives / (True Positives + False Negatives)\], evaluating the AI system's ability to correctly identify patients with anxiety. Specificity : Calculated as \[True Negatives / (True Negatives + False Positives)\], evaluating the AI system's ability to correctly exclude non-anxious individuals.Area Under the Receiver Operating Characteristic Curve (AUC), which comprehensively evaluates the diagnostic discriminative power of the system by plotting sensitivity versus 1-specificity across different decision thresholds and calculating the AUC value .
Time frame
through study completion, an average of 1 weekSponsors and contacts
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Source ClinicalTrials.gov
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