Using artificial intelligence to assess PTSD in 9/11 responders over time

Developing and Evaluating Artificial Intelligence-based Longitudinal Assessments of PTSD in 9/11 Responders

NIH-funded research State University New York Stony Brook · NIH-10844337

This study is testing new AI tools to help keep track of how PTSD symptoms change over time in people who were affected by the 9/11 attacks, with the hope of improving their care and support.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionState University New York Stony Brook NIH-funded
Lab location1 site (Stony Brook, United States)
Project IDNIH-10844337 on NIH RePORTER

What this research studies

This research focuses on developing advanced artificial intelligence tools to monitor and evaluate the mental health of individuals who responded to the 9/11 attacks, specifically looking at post-traumatic stress disorder (PTSD). By employing longitudinal assessments, the study aims to track changes in PTSD symptoms over time, providing a clearer understanding of how this condition evolves. Patients will be monitored through innovative AI-driven methods that can analyze data more effectively than traditional approaches. The goal is to enhance the accuracy of PTSD assessments and improve care for those affected.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals who were first responders or involved in recovery efforts during and after the 9/11 attacks and are experiencing symptoms of PTSD.

Not a fit: Patients who were not involved in the 9/11 response efforts or those without PTSD symptoms may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more precise and timely interventions for PTSD in 9/11 responders, ultimately improving their mental health outcomes.

How similar studies have performed: While the use of AI in mental health assessments is an emerging field, there have been promising results in similar applications, indicating potential for success in this novel approach.

Where this research is happening

Stony Brook, 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.