Using AI to measure depression and anxiety severity automatically
Official title: DDT-IST-000014: Progressing towards the Qualification Plan of AI-COA™ for Automated Depression and Anxiety Severity Measurement
Funded at Deliberate Solutions, INC. · NIH-10836918 · Data updated 2026-11-12
This study is testing a new tool called AI-COA™ that uses video and audio from interviews to help doctors better understand how severe someone's depression or anxiety is, making it easier to find effective treatments for mood disorders.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Deliberate Solutions, INC. NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | February 20, 2024 |
| Project end | January 19, 2026 |
| Funding year | 2024 |
| Award (this year) | $249,366 |
| NIH project number | 1U01FD008130-01 |
| Project ID | NIH-10836918 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals experiencing symptoms of depression or anxiety who are willing to participate in clinical interviews.
✕Less likely to help
Patients who do not have symptoms of depression or anxiety may not receive any benefit from this research.
What this research studies
This research aims to enhance the accuracy of measuring depression and anxiety severity in clinical trials by developing a machine learning tool called AI-COA™. It will analyze audiovisual recordings from clinical interviews to provide reliable scores for depression and anxiety. The project involves assessing new participants to improve the dataset's diversity and re-evaluating scores to ensure reliability. By refining this tool, the research seeks to improve the success rates of new mood disorder treatments.
Why it matters
Potential benefit: If successful, this research could lead to more accurate assessments of depression and anxiety, ultimately improving treatment outcomes for patients.
How similar studies have gone: Other research has shown promise in using machine learning for mental health assessments, indicating potential success for this approach.
Where this research is happening
-
Deliberate Solutions, INC.
New York, United States Active
Researchers
- Principal investigator: Aafjes, Marc — Deliberate Solutions, INC.
- Study coordinator: Aafjes, Marc
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.