Google Research is leveraging TensorFlow Lite to develop AI models that enhance access to maternal healthcare, particularly in under-resourced regions. By using a "blind sweep" protocol, these models enable non-experts to perform ultrasound scans to predict gestational age and fetal presentation, matching the performance of trained sonographers. The models are optimized for mobile devices, allowing them to function efficiently without internet connectivity, thus expanding their usability in remote areas. This approach aims to lower barriers to prenatal care, potentially reducing maternal and neonatal mortality rates by providing timely and accurate health assessments. This matters because it can significantly improve maternal and neonatal health outcomes in underserved areas by making advanced medical diagnostics more accessible.
