AIMC Topic: Trial of Labor

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Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries.

American journal of obstetrics and gynecology May 17, 2020
BACKGROUND: The process of childbirth is one of the most crucial events in the future health and development of the offspring. The vulnerability of parturients and fetuses during the delivery process led to the development of intrapartum monitoring m...
Humans Machine Learning Electronic Health Records Pregnancy Female Models, Theoretical Predictive Value of Tests Delivery, Obstetric Prenatal Diagnosis Trial of Labor
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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Humans Machine Learning Retrospective Studies Pregnancy Female Infant, Newborn Cesarean Section Parity Risk Factors Adult Risk Assessment ROC Curve Organ Size Area Under Curve Tertiary Care Centers Feasibility Studies Head Gestational Age Delivery, Obstetric Apgar Score Fetal Weight Extraction, Obstetrical Trial of Labor Uterine Rupture Vaginal Birth after Cesarean
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