Cesarean Section Rate

ORACLE-AI is a single-center, open-label, randomized clinical trial comparing primiparous women managed with a real-time machine-learning dashboard against a concurrent control group receiving standard intrapartum care. Participants are randomized 1:1 at the onset of labor. The intervention group has the AI dashboard visible in their electronic health record, while the control group does not. The primary hypothesis is that the use of continuous AI-based risk estimates will be non-inferior to standard care in terms of unplanned cesarean\–delivery rates (uCD), with potential secondary benefits in maternal and neonatal outcomes.

This randomized clinical trial investigates whether and how maternal mobility during labor influences birth outcomes in primiparous women. The study compares standard obstetric care with care that includes a birth mobility system. The primary aim is to assess whether the system helps reduce secondary cesarean section rates. Secondary objectives include evaluation of labor progression, medication use, newborn health, and user satisfaction. Participation occurs during birth and includes the collection of routine clinical data and a short questionnaire afterward.