ReviewDiagnostics (Basel, Switzerland)2020
Application of Artificial Intelligence in Early Diagnosis of Spontaneous Preterm Labor and Birth.
Review in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 56 citations in OpenAlex.
- Artificial Intelligence for Neonatal and Perinatal Mortality Prevention: A Systematic Review of Machine Learning and Deep Learning Applications.Healthcare (Basel, Switzerland) · 2026Review
- Prediction of Spontaneous Preterm Birth in the Second Trimester: Current Models, Limitations, and the Way Forward.Indian journal of pediatrics · 2026Review
- Radiomics in thyroid nodule assessment.BMC medical imaging · 2026Review
- Proceedings from the CIHBMC proceedings · 2026Article
- Prediction of preterm birth from cervical length measurements in twin pregnancies using machine learning.Scientific reports · 2025Article
- Genetic Artificial Intelligence in Gastrointestinal Disease: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025Review
- Association between blood transfusion and early mortality in patient undergoing extracorporeal membrane oxygenation.Scientific reports · 2025Article
- The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions.PLOS digital health · 2025Review
- Artificial Intelligence in Fetal Growth Restriction Management: A Narrative Review.Journal of clinical ultrasound : JCU · 2025Review
- Current status of artificial intelligence analysis for the diagnosis of gallbladder diseases using ultrasonography: a scoping review.Translational gastroenterology and hepatology · 2025Review
- Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models.PloS one · 2025Article
- Predictive modeling of gestational weight gain: a machine learning multiclass classification study.BMC pregnancy and childbirth · 2024Article
- Application of machine learning techniques in the diagnosis of endometriosis.BMC women's health · 2024Article
- Artificial intelligence in colonoscopy: from detection to diagnosis.The Korean journal of internal medicine · 2024Review
- Review
- Use of artificial intelligence in obstetric and gynaecological diagnostics: a protocol for a systematic review and meta-analysis.BMJ open · 2024Article
- Article
- Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database.PloS one · 2023Article
- Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women.PloS one · 2023Article
- Machine learning-based risk factor analysis of necrotizing enterocolitis in very low birth weight infants.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study reviews the current status and future prospective of knowledge on the use of artificial intelligence for the prediction of spontaneous preterm labor and birth ("preterm birth" hereafter). The summary of review suggests that different machine learning approaches would be optimal for different types of data regarding the prediction of preterm birth: the artificial neural network, logistic regression and/or the random forest for numeric data; the support vector machine for electrohysterogram data; the recurrent neural network for text data; and the convolutional neural network for image data. The ranges of performance measures were 0.79-0.94 for accuracy, 0.22-0.97 for sensitivity, 0.86-1.00 for specificity, and 0.54-0.83 for the area under the receiver operating characteristic curve. The following maternal variables were reported to be major determinants of preterm birth: delivery and pregestational body mass index, age, parity, predelivery systolic and diastolic blood pressure, twins, below high school graduation, infant sex, prior preterm birth, progesterone medication history, upper gastrointestinal tract symptom, gastroesophageal reflux disease, Helicobacter pylori, urban region, calcium channel blocker medication history, gestational diabetes mellitus, prior cone biopsy, cervical length, myomas and adenomyosis, insurance, marriage, religion, systemic lupus erythematosus, hydroxychloroquine sulfate, and increased cerebrospinal fluid and reduced cortical folding due to impaired brain growth.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.