Every day, hundreds of women around the world die from preventable causes related to pregnancy and childbirth. The majority of these deaths occur in Africa, and most could have been avoided through interventions identified via ultrasound examination. AI can dramatically reduce the amount of training required to conduct maternal and fetal health ultrasound, potentially expanding global access to screening and improving health outcomes in underserved communities and countries. This talk will demonstrate the utility of AI-interpreted fetal ultrasound, even when using portable, low-cost probes and novice operators with no prior ultrasound experience. Results show that our on-device models are non-inferior, and in many cases, outperform sonographers on two critical diagnostic tasks: estimating fetal age and fetal malpresentation.