AIMC Topic: Pregnancy

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Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women.

PloS one Dec 27, 2023
Preterm birth (PTB) presents a complex challenge in pregnancy, often leading to significant perinatal and long-term morbidities. "While machine learning (ML) algorithms have shown promise in PTB prediction, the lack of interpretability in existing mo...
Humans Prospective Studies Cesarean Section Pregnancy Artificial Intelligence Infant, Newborn Parity Female Premature Birth Machine Learning Pregnant People
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Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection.

Computers in biology and medicine Dec 19, 2023
PROBLEM: Organoids are 3D cultures that are commonly used for biological and medical research in vitro due to their functional and structural similarity to source organs. The development of organoids can be assessed by morphological tests. However, m...
Humans Pregnancy Labor, Obstetric Organoids Female Biomedical Research Deep Learning
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Deep learning algorithm for predicting preterm birth in the case of threatened preterm labor admissions using transvaginal ultrasound.

Journal of medical ultrasonics (2001) Dec 15, 2023
PURPOSE: Preterm birth presents a major challenge in perinatal care, and predicting preterm birth remains a major challenge. If preterm birth cases can be accurately predicted during pregnancy, preventive interventions and more intensive prenatal mon...
Humans Ultrasonography, Prenatal Deep Learning Cervix Uteri Female Neural Networks, Computer Predictive Value of Tests Premature Birth Algorithms Obstetric Labor, Premature Adult Pregnancy Cervical Length Measurement
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A Machine Learning Algorithm using Clinical and Demographic Data for All-Cause Preterm Birth Prediction.

American journal of perinatology Dec 4, 2023
OBJECTIVE: Preterm birth remains the predominant cause of perinatal mortality throughout the United States and the world, with well-documented racial and socioeconomic disparities. To develop and validate a predictive algorithm for all-cause preterm ...
Pregnancy Female Infant, Newborn Humans Machine Learning Algorithms Premature Birth Adult Risk Factors Logistic Models Cohort Studies Young Adult Gestational Age
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Editorial for "A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI".

Journal of magnetic resonance imaging : JMRI Nov 28, 2023
Female Deep Learning Magnetic Resonance Imaging Humans Placenta Placenta Diseases Retrospective Studies Prenatal Diagnosis Pregnancy Placenta Accreta
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A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability.

BMC medical informatics and decision making Nov 28, 2023
BACKGROUND: Intelligent cardiotocography (CTG) classification can assist obstetricians in evaluating fetal health. However, high classification performance is often achieved by complex machine learning (ML)-based models, which causes interpretability...
Cluster Analysis Cardiotocography Probability Pregnancy Female Support Vector Machine Humans Machine Learning
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Intelligent classification of cardiotocography based on a support vector machine and convolutional neural network: Multiscene research.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Nov 27, 2023
OBJECTIVE: To propose a computerized system utilizing multiscene analysis based on a support vector machine (SVM) and convolutional neural network (CNN) to assess cardiotocography (CTG) intelligently.
Female Support Vector Machine Cardiotocography Algorithms Humans Retrospective Studies Neural Networks, Computer Pregnancy
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Deep learning with fetal ECG recognition.

Physiological measurement Nov 27, 2023
Independent component analysis (ICA) is widely used in the extraction of fetal ECG (FECG). However, the amplitude, order, and positive or negative values of the ICA results are uncertain. The main objective is to present a novel approach to FECG reco...
Fetal Monitoring Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans Algorithms Pregnancy Female
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Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation.

Artificial intelligence in medicine Nov 25, 2023
Fetoscopic Laser Coagulation (FLC) for Twin to Twin Transfusion Syndrome is a challenging intervention due to the working conditions: low quality images acquired from a 3 mm fetoscope inside a turbid liquid environment, local view of the placental su...
Robotics Pregnancy Placenta Humans Laser Coagulation Female Fetoscopes Exercise
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Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case-cohort study.

BJOG : an international journal of obstetrics and gynaecology Nov 20, 2023
OBJECTIVES: To identify and internally validate metabolites predictive of spontaneous preterm birth (sPTB) using multiple machine learning methods and sequential maternal serum samples, and to predict spontaneous early term birth (sETB) using these m...
United Kingdom Gestational Age Metabolomics Predictive Value of Tests Supervised Machine Learning Pregnancy Premature Birth Female Adult Case-Control Studies Humans Prospective Studies
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