Using AI to identify and prevent depression in pregnant individuals
Peripartum Depression Prevention: Algorithmic Identification and Digital Solutions
['FUNDING_OTHER'] · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · NIH-10874562
This study is working on a smart computer program to help doctors spot pregnant people who might be at risk for depression, especially in Black communities that often don’t get enough mental health support, so they can get the help they need early on for better health for both moms and their babies.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF PITTSBURGH AT PITTSBURGH (nih funded) |
| Locations | 1 site (PITTSBURGH, UNITED STATES) |
| Trial ID | NIH-10874562 on ClinicalTrials.gov |
What this research studies
This research focuses on developing an AI-based algorithm to identify pregnant individuals at risk for depression, particularly among Black populations who are often underserved in mental health care. By analyzing data from electronic health records, the study aims to create predictive models that can help healthcare providers intervene early and connect patients with effective behavioral health services. The project also involves collaboration with OB/GYN experts and community engagement to ensure the solutions are practical and culturally relevant for those at risk. Ultimately, the goal is to improve mental health outcomes for mothers and their children.
Who could benefit from this research
Good fit: Ideal candidates for this research include pregnant individuals, particularly those in their first trimester and from Black populations, who may be at risk for depression.
Not a fit: Patients who are not pregnant or those who do not identify as part of the targeted demographic may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier identification and prevention of depression in pregnant individuals, improving mental health outcomes for mothers and their children.
How similar studies have performed: Previous research has shown promise in using AI and data-driven approaches to identify mental health risks, indicating potential for success in this novel application.
Where this research is happening
PITTSBURGH, UNITED STATES
- UNIVERSITY OF PITTSBURGH AT PITTSBURGH — PITTSBURGH, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KRISHNAMURTI, TAMAR — UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- Study coordinator: KRISHNAMURTI, TAMAR
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.