Using AI to create affordable ultrasound technology for detecting pregnancy complications
AI-driven low-cost ultrasound for automated quantification of hypertension, preeclampsia, and IUGR
This study is testing a new, affordable ultrasound system that uses artificial intelligence to help healthcare workers in rural Guatemala and urban Georgia better detect serious pregnancy issues like high blood pressure and growth problems in babies, making sure more moms and babies get the care they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-10914315 on NIH RePORTER |
What this research studies
This research focuses on developing a low-cost ultrasound system powered by artificial intelligence to improve the detection of serious pregnancy-related conditions such as hypertension, preeclampsia, and intrauterine growth restriction (IUGR). By validating this technology in underserved populations in rural Guatemala and urban Georgia, the project aims to ensure that frontline healthcare workers can effectively screen for these conditions. The approach involves comparing the AI-driven ultrasound results with traditional high-cost diagnostic methods to assess accuracy and reliability.
Who could benefit from this research
Good fit: Ideal candidates for this research are pregnant individuals in underserved areas who may be at risk for hypertension, preeclampsia, or IUGR.
Not a fit: Patients who are not pregnant or those with access to standard high-cost diagnostic methods may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve maternal and fetal health outcomes by providing accessible and accurate screening for pregnancy complications.
How similar studies have performed: Previous studies have shown promise in using AI for medical diagnostics, indicating that this approach could be effective, though the specific application in this context is novel.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Clifford, Gari David — Emory University
- Study coordinator: Clifford, Gari David
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.