AIMC Topic: Obstetric Labor Complications

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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...
Retrospective Studies Pregnancy Female Humans Analgesia, Obstetrical Fever Machine Learning Obstetric Labor Complications Adult China
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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.
Gravidity Labor Presentation Labor Stage, First Delivery, Obstetric Obstetric Labor Complications Labor Stage, Second Adult ROC Curve Predictive Value of Tests Patient Admission Pregnancy Outcome Humans Female Machine Learning Parity Retrospective Studies 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
Humans Artificial Intelligence Female Premature Birth Pregnancy Pregnancy, Ectopic Pre-Eclampsia Obstetric Labor Complications Postnatal Care Pregnancy Complications Risk Assessment Obstetric Labor, Premature Cardiotocography
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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...
Blood Pressure Pre-Eclampsia Adult Time Factors Hypoxia-Ischemia, Brain Pregnancy Retrospective Studies Uterine Rupture Stillbirth Female Electronic Health Records Obstetric Labor Complications Clinical Decision Rules Parity Humans Premature Birth Pregnancy in Obesity Maternal Age Reproducibility of Results Machine Learning Routinely Collected Health Data Postpartum Hemorrhage
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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 Head Labor Presentation Fetus Ultrasonography, Prenatal Labor Stage, Second Obstetric Labor Complications Area Under Curve Female Adult
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