Clinical Research Directory

Obstetric Risk Assessment & Cesarean-delivery in Labor Estimation Using Artificial Intelligence

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.

Comparing PIEB and CEI for Labor Pain Relief

The purpose of this randomized controlled trial is to compare the efficacy and safety of two epidural analgesia maintenance methods for labor pain relief: Programmed Intermittent Epidural Bolus (PIEB) and Continuous Epidural Infusion (CEI), both combined with Patient-Controlled Epidural Analgesia (PCEA). The study aims to evaluate which technique provides superior analgesia while minimizing anesthetic consumption and preserving maternal motor function. A total of 60 parturients at Family Hospital, Da Nang, will be randomly assigned to either the PIEB or CEI group. Outcomes including pain intensity (VAS scores), total drug consumption, maternal satisfaction, and neonatal Apgar scores will be assessed.

Maternal Informing on Labor Induction: Impact on Childbirth Experience

The aim of this study is to explore the information provided to mothers about labor induction and its connection to their childbirth experience. In addition, the study examines how the use of social media may influence the birth experience among patients undergoing labor induction.