Using AI to improve the quality of exposure therapy for anxiety treatment
Official title: Automated Coding of Exposure Therapy Quality using Natural Language Processing
Funded at Emma Pendleton Bradley Hospital · NIH-11074143 · Data updated 2026-11-12
This study is looking at how to make exposure therapy for anxiety even better by using smart technology to help track and improve therapy sessions, so that more people can benefit from effective treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emma Pendleton Bradley Hospital NIH-funded |
| Lab location | 1 site (Riverside, UNITED STATES) |
| Project start | April 12, 2024 |
| Project end | January 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $550,485 |
| NIH project number | 5R01MH135861-02 |
| Project ID | NIH-11074143 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals aged 21 and older who are undergoing exposure therapy for anxiety.
✕Less likely to help
Patients who are not receiving exposure therapy or those under 21 years old may not benefit from this research.
What this research studies
This research focuses on enhancing the quality of exposure therapy for anxiety by utilizing Natural Language Processing (NLP), a form of artificial intelligence. The project aims to automate the coding of therapy sessions to ensure that key quality components are delivered effectively. By analyzing audio data from over 1,200 patients across multiple clinical trials, the study seeks to streamline quality monitoring in psychotherapy, making it more efficient and accessible. Collaborations with experts and stakeholders will help refine the approach and ensure its practical application in both research and community settings.
Why it matters
Potential benefit: If successful, this research could lead to improved quality and effectiveness of anxiety treatments, benefiting patients through better therapeutic outcomes.
How similar studies have gone: Previous research has shown promise in using AI and NLP for quality monitoring in various therapeutic settings, indicating potential success for this novel approach.
Where this research is happening
-
Emma Pendleton Bradley Hospital
Riverside, United States Active
Researchers
- Principal investigator: Benito, Kristen G — Emma Pendleton Bradley Hospital
- Study coordinator: Benito, Kristen G
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.