Using Artificial Intelligence to Understand PTSD in 9/11 Responders Over Time
Developing and Evaluating Artificial Intelligence-based Longitudinal Assessments of PTSD in 9/11 Responders
This work uses artificial intelligence to better understand how post-traumatic stress disorder (PTSD) changes in 9/11 responders as they get older.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | State University New York Stony Brook NIH-funded |
| Lab location | 1 site (Stony Brook, United States) |
| Project ID | NIH-11074520 on NIH RePORTER |
What this research studies
We are creating new ways to track PTSD symptoms in 9/11 responders over many years using advanced computer programs. These programs will look at information collected from responders to find patterns that help us understand how PTSD develops and changes. Our goal is to create tools that can identify early signs of worsening PTSD or predict who might need more support. This approach could lead to more personalized care for those affected by traumatic events.
Who could benefit from this research
Good fit: This work is focused on 9/11 responders who have experienced or are at risk for post-traumatic stress disorder.
Not a fit: Individuals who are not 9/11 responders or do not have PTSD would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this work could lead to earlier detection and more tailored support for 9/11 responders experiencing PTSD, potentially improving their long-term well-being.
How similar studies have performed: While AI is increasingly used in mental health, applying it to long-term PTSD changes in specific populations like 9/11 responders is a relatively new and promising approach.
Where this research is happening
Stony Brook, United States
- State University New York Stony Brook — Stony Brook, United States (Active)
Researchers
- Principal investigator: Schwartz, Hansen Andrew — State University New York Stony Brook
- Study coordinator: Schwartz, Hansen Andrew
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 below.