AI Learns from Ultrasound: Predicting Prenatal Renal Anomalies

This research explores the application of self-supervised learning to medical imaging, potentially improving the detection of prenatal renal anomalies. The use of self-supervised learning could reduce the need for large, labeled datasets, which is often a bottleneck in medical AI development.