Role of intrapartum AI in predicting labor outcome

This prospective observational study will be conducted in Kasturba Hospital, Manipal. Ethical clearance by Institutional ethical committee (IEC), Kasturba Hospital, Manipal will be taken. Pregnant women who will be admitted to the hospital will be screened based on the inclusion and exclusion criteria, as mentioned in the proforma and thereafter, baseline demographic characteristics will be obtained. Written and informed consent will be taken from the participants after a brief explanation of the procedure. Intrapartum AI is Digital assessment of labor progress, where 8 maternal parameters such as BMI, Parity index, gestational age, Duration of labor, Cervical dilatation, Head-Perineum distance, fetal position and caput will be taken into account to predict labor outcome. Based on these 8 parameters  intrapartum AI will predict likelihood of normal vaginal delivery. We will conduct parallel traditional clinical assessment and wait for the outcome- vaginal delivery or c-section. From all the data collected we will employ statistical analysis to know the accuracy of Intrapartum AI in predicting labor outcome.