Ignite Creation Date:
2025-12-24 @ 1:49 PM
Ignite Modification Date:
2025-12-28 @ 11:24 AM
Study NCT ID:
NCT06923995
Status:
RECRUITING
Last Update Posted:
2025-11-13
First Post:
2025-03-24
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Expansion and Evaluation of AI-generated Clinical Assessment (AI-COA®) of Depression and Anxiety Severity
Sponsor:
Deliberate Solutions Inc.
Organization:
Study Overview
Official Title:
Symptom Evaluation and Quantification for Unified Outcomes and Individualized Assessment
Status:
RECRUITING
Status Verified Date:
2025-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
SEQUOIA-1
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.
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.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
Secondary ID Infos
| Secondary ID | Type | Domain | Link | View |
|---|---|---|---|---|
| U01FD008130 | FDA | None | https://reporter.nih.gov/quic… | View |