AIMC Topic: Premature Birth

Clear Filters Showing 21 to 30 of 50 articles

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...
Premature Birth Prospective Studies Pregnant People Pregnancy Cesarean Section Female Parity Infant, Newborn Humans Artificial Intelligence Machine Learning
View on PubMed DOI

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...
Female Humans Premature Birth Ultrasonography, Prenatal Obstetric Labor, Premature Adult Neural Networks, Computer Deep Learning Cervical Length Measurement Algorithms Cervix Uteri Predictive Value of Tests Pregnancy
View on PubMed DOI

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 ...
Machine Learning Algorithms Pregnancy Female Humans Adult Cohort Studies Logistic Models Gestational Age Infant, Newborn Premature Birth Risk Factors Young Adult
View on PubMed DOI

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...
Humans Prospective Studies Adult Case-Control Studies Metabolomics Predictive Value of Tests Pregnancy Female Premature Birth Supervised Machine Learning United Kingdom Gestational Age
View on PubMed DOI

Serum myosin-binding protein c levels: a new marker for exclusion of preterm birth?

Turkish journal of medical sciences Sep 9, 2023
BACKGROUND/AIM: To evaluate whether there is a relationship between serum myosin-binding protein C (MyBP-C) levels measured in the first trimester and the timing of delivery, and, if a relationship is detected, the potential of this relationship in d...
Adult Case-Control Studies Humans ROC Curve Pregnancy Prospective Studies Pregnancy Trimester, First Carrier Proteins Female Biomarkers Premature Birth
View on PubMed DOI

Creating an ignorance-base: Exploring known unknowns in the scientific literature.

Journal of biomedical informatics Jun 1, 2023
BACKGROUND: Scientific discovery progresses by exploring new and uncharted territory. More specifically, it advances by a process of transforming unknown unknowns first into known unknowns, and then into knowns. Over the last few decades, researchers...
Knowledge Bases Knowledge Vitamin D Natural Language Processing Publications Humans Female Infant, Newborn Premature Birth
View on PubMed DOI

Predicting preterm births from electrohysterogram recordings via deep learning.

PloS one May 11, 2023
About one in ten babies is born preterm, i.e., before completing 37 weeks of gestation, which can result in permanent neurologic deficit and is a leading cause of child mortality. Although imminent preterm labor can be detected, predicting preterm bi...
Child Parturition Obstetric Labor, Premature Female Infant, Newborn Premature Birth Deep Learning Humans Pregnancy
View on PubMed DOI

Prediction of preterm birth using artificial intelligence: a systematic review.

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology Jun 1, 2022
Preterm birth is the leading cause of neonatal death. It is challenging to predict preterm birth. We elucidated the state of artificial intelligence research on the prediction of preterm birth, clarifying the predictive values and accuracy. We perfor...
Amniotic Fluid Humans Artificial Intelligence Female Infant, Newborn Premature Birth Cervix Uteri
View on PubMed DOI

The Effects of Rso2 and PI Monitoring Images on the Treatment of Premature Infants Based on Deep Learning.

Computational and mathematical methods in medicine Feb 22, 2022
In recent years, due to the combined effects of individual behavior, psychological factors, environmental exposure, medical conditions, biological factors, etc., the incidence of preterm birth has gradually increased, so the incidence of various comp...
Humans Neural Networks, Computer Brain Female Infant, Newborn Premature Birth Perfusion Index Male Posture Oxygen Image Interpretation, Computer-Assisted Infant, Premature Deep Learning Computational Biology Monitoring, Physiologic
View on PubMed DOI

Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.

Journal of Korean medical science Nov 8, 2021
BACKGROUND: This study used machine learning and population data for testing the associations of preterm birth with gastroesophageal reflux disease (GERD) and periodontitis.
Databases, Factual Retrospective Studies Republic of Korea Logistic Models Pregnancy Female Periodontitis Humans Gastroesophageal Reflux Premature Birth Machine Learning Social Class Adult
View on PubMed DOI
Popular Topics
Recent Journals