FAMLI
Fetal Age Machine Learning Initiative
Prenatal ultrasound is fundamental to high-quality obstetric care. It provides essential information to monitor maternal health, assess fetal well-being, and guide care throughout pregnancy. However, millions of women have limited or no local access to this vital technology and must travel long distances for essential ultrasounds – creating significant burdens on families, delaying vital care, and increasing the risk of undetected complications that could jeopardize both maternal and fetal health.
The FAMLI app was designed to make reliable ultrasound diagnostics available wherever women receive care. It is designed for health care providers, who are able to collect a series of short, standardized sweeps in just a few minutes using a low-cost, FDA-cleared point-of-care ultrasound probe. Deep learning models embedded within the app instantly produce critical diagnostic results based on these standard sweeps: whether a pregnancy is singleton or twin, the gestational age, fetal presentation, fetal weight, and amniotic fluid volume.
AI-assisted ultrasound has the potential to transform maternal health by changing not only when care begins but also where it can be delivered. With FAMLI, that transformation is already underway.
At present, FAMLI is available for research use only. Efforts are underway to obtain clearance from the U.S. Food and Drug Administration, which will be required before these tools can be introduced into clinical care in the U.S.
Research Partners
Interested in joining our network of research partners or want to learn more?
Reach out to us at FAMLIapp@med.unc.edu to schedule a discovery call.