Study on Delivery Outcomes Using Artificial Intelligence Dystocia Algorithm AIDA Analysis Evaluating Labor Progress and Neonatal Results in First-Time Pregnant Women

What this Trial Is About

Researchers are evaluating delivery outcomes using the Artificial Intelligence Dystocia Algorithm AIDA method, which analyzes intrapartum ultrasound parameters such as Angle of Progression, Asynclitism degree, fetal head-symphysis distance, and midline angle. The study focuses on both eutocic normal and dystocic difficult labor, aiming to assess labor progress and predict outcomes including neonatal Apgar scores at 1 and 5 minutes. This approach addresses challenges in fetal head positioning that affect labor progression and delivery decisions. Participants will be monitored during labor using intrapartum ultrasound with clinical and obstetric parameters analyzed by the AIDA method. The AIDA system classifies labor into five categories based on these geometric parameters, helping to predict whether cesarean delivery will be necessary. This observational study follows women through labor and after birth, using artificial intelligence combined with physician decision support to evaluate labor progress and outcomes. During the study, women will undergo ultrasound monitoring and have their labor progress tracked by the AIDA analysis. Researchers will measure labor outcomes and neonatal health indicators over one year. Data collected includes ultrasound parameters, clinical assessments, and delivery results. The study aims to improve understanding of labor complications and support clinical decisions by providing detailed evaluations of fetal positioning and labor progression.

Delivery Outcomes by AIDA (Artificial Intelligence Dystocia Algorithm) Analysis