The combined use of cervical ultrasound and deep learning improves the detection of patients at risk for spontaneous preterm delivery

To our knowledge, this is the first large-scale multicenter study demonstrating that artificial intelligence is more sensitive than cervical length measurement in identifying spontaneous preterm births across multiple characteristics, 19 hospital sites, and different ultrasound machines. The artificial intelligence model performs particularly well at earlier gestational ages, enabling more timely prophylactic interventions.