AIMC Topic: Labor, Obstetric

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Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study.

BMC medical informatics and decision making Dec 14, 2022
BACKGROUND: Clinically cardiotocography is a technique which is used to monitor and evaluate the level of fetal distress. Even though, CTG is the most widely used device to monitor determine the fetus health, existence of high false positive result f...
Labor, Obstetric Fetal Distress Female Humans Deep Learning Pregnancy Cardiotocography Heart Rate, Fetal
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Use of Deep Learning to Detect the Maternal Heart Rate and False Signals on Fetal Heart Rate Recordings.

Biosensors Aug 27, 2022
We have developed deep learning models for automatic identification of the maternal heart rate (MHR) and, more generally, false signals (FSs) on fetal heart rate (FHR) recordings. The models can be used to preprocess FHR data prior to automated analy...
Heart Rate, Fetal Deep Learning Humans Labor, Obstetric Electrocardiography Pregnancy Cardiotocography Female Heart Rate
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Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients.

American journal of perinatology Jun 25, 2022
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the probability of a vaginal delivery (Partometer) using data iteratively obtained during labor from the electronic health record.
Humans Machine Learning Retrospective Studies Electronic Health Records ROC Curve Area Under Curve Delivery, Obstetric Labor, Obstetric Pregnancy Female Cesarean Section Adult
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Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.

Scientific reports Nov 19, 2021
Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We studied machine learning models to predict postpartum hemorrhage. Wome...
Delivery, Obstetric Labor, Obstetric Tokyo Logistic Models Models, Theoretical Support Vector Machine Models, Statistical Area Under Curve False Positive Reactions Risk Postpartum Hemorrhage Middle Aged Deep Learning Humans Adolescent Neural Networks, Computer ROC Curve Machine Learning Reproducibility of Results Pregnancy Young Adult Female Adult Infant, Newborn
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Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces.

Computers in biology and medicine Dec 8, 2017
Human visual inspection of Cardiotocography traces is used to monitor the foetus during labour and avoid neonatal mortality and morbidity. The problem, however, is that visual interpretation of Cardiotocography traces is subject to high inter and int...
Humans Machine Learning Heart Rate, Fetal Labor, Obstetric Adult Middle Aged Adolescent Cardiotocography Decision Support Techniques Pregnancy Female Cesarean Section
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Changes in maternal placental growth factor levels during term labour.

Placenta Nov 8, 2017
UNLABELLED: Placental growth factor (PlGF) has important angiogenic function that is critical to placental development. Lower levels of PlGF are associated with fetal growth restriction, pre-eclampsia and intrapartum fetal compromise. The aim of this...
Reproducibility of Results Pregnancy Adult Down-Regulation Humans Female Cohort Studies Labor, Obstetric Prospective Studies Cesarean Section Elective Surgical Procedures Placenta Growth Factor Biomarkers Parity Term Birth
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The ResQu Index: A new instrument to appraise the quality of research on birth place.

PloS one Aug 10, 2017
OBJECTIVE: Place of birth is a known determinant of health care outcomes, interventions and costs. Many studies have examined the maternal and perinatal outcomes when women plan to give birth in hospitals compared with births in birth centres or at h...
Infant, Newborn Pilot Projects Expert Systems Quality of Health Care Humans Home Childbirth Parturition Pregnancy Labor, Obstetric Female Patient Care Planning Birthing Centers
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Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.

Computational and mathematical methods in medicine Feb 19, 2017
Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. The early detection of PTB has great significance for its prevention. The electrohysterogram (EHG) rel...
Bayes Theorem Signal Processing, Computer-Assisted Medical Informatics Electronic Data Processing Labor, Obstetric Uterine Contraction Reproducibility of Results ROC Curve Monitoring, Physiologic Models, Statistical Databases, Factual Pregnancy Female Humans Machine Learning Algorithms
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Machine Learning in Electronic Health Records: Identifying High-Risk Obstetric Patients Pre and During Labor.

Studies in health technology and informatics Jul 24, 2024
Our goal is to apply artificial intelligence (AI) and statistical analysis to understand the relationship between various factors and outcomes during pregnancy and labor and delivery, in order to personalize birth management and reduce complications ...
Female Risk Assessment Delivery, Obstetric Labor, Obstetric Humans Machine Learning Electronic Health Records Pregnancy
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Threats by artificial intelligence to human health and human existence.

BMJ global health May 1, 2023
While artificial intelligence (AI) offers promising solutions in healthcare, it also poses a number of threats to human health and well-being via social, political, economic and security-related determinants of health. We describe three such main way...
Pregnancy Female Public Health Labor, Obstetric Humans Artificial Intelligence
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