Using AI to improve the quality of exposure therapy for anxiety treatment

Automated Coding of Exposure Therapy Quality using Natural Language Processing

NIH-funded research Emma Pendleton Bradley Hospital · NIH-11074143

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 typeR01 grant
Study typeNIH-funded research
Funding institutionEmma Pendleton Bradley Hospital NIH-funded
Lab location1 site (Riverside, UNITED STATES)
Project IDNIH-11074143 on NIH RePORTER

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.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals aged 21 and older who are undergoing exposure therapy for anxiety.

Not a fit: Patients who are not receiving exposure therapy or those under 21 years old may not benefit from this research.

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 performed: 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

Riverside, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.