Grantee
Katelyn Rittenhouse
FAMLI: Improving Pregnancy Evaluation in Low-Resource Settings.
We are developing the FAMLI app, an AI-powered ultrasound platform designed to improve pregnancy care in low-resource settings. By combining deep learning models with affordable, handheld ultrasound devices, our solution enables non-specialists to perform simple, standardized scans and receive real-time diagnostic feedback—no internet or expert required. This project will help bring our research-grade tool to market, expanding access to essential obstetric imaging for women worldwide.
- Sector
Health
- Country
USA
- University
University of North Carolina Chapel Hill
- Year
2025


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