AIMC Topic: Obstetric Labor Complications

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Implementation of a scientific approach to intrapartum care: the Emergency Caesarean Section-Decision Optimising Tool (EC-DOT) to eliminate avoidable harm to mothers and babies.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Nov 5, 2025
Safe intrapartum care requires masterly observation, timely interventions, verbalization and escalation (MOTIVE) to optimize maternal and perinatal outcomes. In clinical situations where continuation of labor is deemed likely to worsen maternal and p...
Humans Clinical Decision-Making Cesarean Section Emergencies Female Obstetric Labor Complications Infant, Newborn Pregnancy
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Development and validation of a machine learning model for predicting intrapartum fever using pre-labor analgesia clinical indicators: a multicenter retrospective study.

BMC pregnancy and childbirth Mar 6, 2025
BACKGROUND: Labor anesthesia is commonly used for pain relief during labor, but it can increase the risk of intrapartum fever. Currently, there are no reliable tools to predict which parturients might develop fever before labor anesthesia. The predic...
Obstetric Labor Complications Analgesia, Obstetrical Fever Retrospective Studies Pregnancy Adult Humans China Machine Learning Female
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Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study.

BJOG : an international journal of obstetrics and gynaecology Apr 15, 2021
OBJECTIVE: To create a personalised machine learning model for prediction of severe adverse neonatal outcomes (SANO) during the second stage of labour.
Labor Stage, Second Delivery, Obstetric Obstetric Labor Complications Labor Presentation Labor Stage, First Gravidity Machine Learning Pregnancy Outcome Retrospective Studies Predictive Value of Tests Humans Adult Patient Admission Female ROC Curve Parity Pregnancy
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Artificial intelligence: The current state of affairs for AI in pregnancy and labour.

Journal of gynecology obstetrics and human reproduction Dec 31, 2020
Female Premature Birth Cardiotocography Pre-Eclampsia Risk Assessment Humans Artificial Intelligence Pregnancy Pregnancy, Ectopic Pregnancy Complications Obstetric Labor, Premature Obstetric Labor Complications Postnatal Care
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Prediction of obstetrical and fetal complications using automated electronic health record data.

American journal of obstetrics and gynecology Oct 22, 2020
An increasing number of delivering women experience major morbidity and mortality. Limited work has been done on automated predictive models that could be used for prevention. Using only routinely collected obstetrical data, this study aimed to devel...
Uterine Rupture Obstetric Labor Complications Pre-Eclampsia Maternal Age Postpartum Hemorrhage Retrospective Studies Clinical Decision Rules Humans Female Time Factors Electronic Health Records Pregnancy in Obesity Premature Birth Machine Learning Pregnancy Reproducibility of Results Blood Pressure Routinely Collected Health Data Parity Adult Hypoxia-Ischemia, Brain Stillbirth
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Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jan 1, 2022
OBJECTIVES: To describe a newly developed machine-learning (ML) algorithm for the automatic recognition of fetal head position using transperineal ultrasound (TPU) during the second stage of labor and to describe its performance in differentiating be...
Artificial Intelligence Prospective Studies Pregnancy Humans Area Under Curve Head Fetus Adult Ultrasonography, Prenatal Female Labor Stage, Second Obstetric Labor Complications Labor Presentation
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