Shanghai Mental Health Center
Shanghai, Shanghai Municipality, 200030, China
NCT Number: NCT07311668
The trial aimed to evaluate the accuracy of an artificial intelligence-based system for diagnosing depressive disorders. Specifically, it sought to determine whether the system's assessment validity is non-inferior to that of psychiatric specialists.
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Get Notified18 year–60 year
All sexes
Observational
Shanghai, Shanghai Municipality, 200030, China
This study evaluates the performance of the AI-assisted diagnostic system for identifying depressive disorders and its applicability in clinical settings. Utilizing a paired design with psychiatrists' clinical diagnoses as the gold standard, the study compares the system's diagnostic results with those of physicians to determine sensitivity and specificity, thus validating its clinical effectiveness in real-world outpatient scenarios. Additionally, standardized scales are used to assess users' perceptions of the system's usability, trustworthiness, and satisfaction, offering evidence to support the clinical integration of AI technology in mental health screening.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Time frame: through study completion, an average of 1 week
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 depression. Specificity : Calculated as [True Negatives / (True Negatives + False Positives)], evaluating the AI system's ability to correctly exclude non-depressed 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 .
Shanghai Mental Health Center
Other
Accuracy of an Artificial Intelligence-Based System for Diagnosing Depressive Disorders: A Paired Comparison With Psychiatrist Clinical Diagnoses
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