Effects of Artificial Intelligence-based Health Education Courses on Primipara Delivery

Abstract

Objective: to study the first-time mothers, perinatal health education curriculum based on artificial intelligence, combined with health education group of network stations, fear of primarily childbirth, the influence of birth outcomes. Methods: From 2025.2.10 to 2025.5.10, 50 primiparous women who were waiting for delivery and giving birth in the obstetrics department of a tertiary hospital in Xianyang City were selected, divided into the control group and intervention group. Control group to provide routine obstetric health education contents and methods, intervention group in conventional health education, on the basis of systematic health education based on artificial intelligence course, combining group of network stations intervention of health education model, compared two groups before and after the intervention degree of childbirth fear and birth outcomes. Results: After the intervention measures, the intervention group childbirth fear score lower than the control group (P<0.05), intervention group the cesarean section rate and the total labor time and perineal injury rate is lower than the control group (P<0.05). Conclusion: Health education curriculum based on artificial intelligence, combined with health education group of network stations, can effectively reduce the primipara childbirth fear, improve birth outcomes.