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Recruiting NCT06923995

Expansion and Evaluation of AI-generated Clinical Assessment (AI-COA®) of Depression and Anxiety Severity

Trial Parameters

Condition Depression Disorders
Sponsor Deliberate Solutions Inc.
Study Type INTERVENTIONAL
Phase N/A
Enrollment 120
Sex ALL
Min Age 18 Years
Max Age 65 Years
Start Date 2025-09-01
Completion 2026-02-28
Interventions
AI-driven clinical interview

Brief Summary

The SEQUOIA-1 study evaluates the effectiveness of Artificial Intelligence (AI) in measuring depression and anxiety severity in adults. Investigators from Deliberate Solutions, Inc. and Baylor College of Medicine are conducting this study to determine whether AI can provide reliable clinical assessments of mood and anxiety disorders. In clinical trials for new depression and anxiety treatments, human clinicians typically conduct interviews to evaluate participants' symptoms. These assessments are critical but may vary based on the clinician's experience or interview style, potentially affecting the reliability of research findings. To address this challenge, the study team developed an AI-based Clinical Outcome Assessment tool, called AICOA®, which analyzes video interviews to measure symptoms of depression and anxiety consistently and objectively. AI-COA® has been accepted by the U.S. Food and Drug Administration (FDA) into the Innovative Science and Technology Approaches for New Drugs (ISTAND) pilot program. The primary objectives of the SEQUOIA-1 study are to collect additional data to improve model accuracy and to evaluate model performance across diverse demographic groups. The study also pilots the use of an AI interviewer-an interactive digital agent-to conduct remote assessments. During the study, participants will complete questionnaires about their symptoms and perform brief tasks. Participants will also provide feedback regarding their experience interacting with the AI interviewer. All assessments will be securely video-recorded. Recorded videos will be analyzed by AICOA® to determine depression and anxiety symptom severity. These results will be compared to assessments conducted by human clinicians. The development and validation of reliable, AI-driven assessment tools through this study aim to enhance the accuracy of mental health evaluations, potentially improving the testing and approval processes for new treatments targeting depression and anxiety.

Eligibility Criteria

Inclusion Criteria: * English fluency * 18 to 65 years of age. * HAM-D 17 \> 10 * Starting, or has started, a new treatment for depression or anxiety within 2-3 weeks of enrollment * Access to a laptop or other computer with a well functioning microphone and webcam, and a stable Internet connection * Stated willingness to comply with all study procedures and availability for the duration of the study * Resides in the United States at the time of consent and during completion of study Exclusion Criteria: * Any cognitive impairment that limits ability to provide informed consent or authorization * Vulnerable or protected populations (e.g. prisoners) * Impairment that would prevent participants from completing an online survey and/or engaging in clinician assessment interviews (e.g., visual impairment, motor impairment, hearing impairment) * Acute intoxication at the time of the assessments * Concurrent medication/treatment: * Receiving any fast-acting treatment for depression or anxiety

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