AIMC Topic: Enterocolitis, Necrotizing

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The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jun 23, 2025
: Early identification and timely preventive interventions play an essential role for improving the prognosis of newborns with necrotizing enterocolitis (NEC). Thus, establishing a novel and simple prediction model is of great clinical significance. ...
Female Infant, Newborn Risk Factors Databases, Factual Prognosis Retrospective Studies Logistic Models Early Diagnosis Enterocolitis, Necrotizing Male Case-Control Studies ROC Curve Humans Machine Learning
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Do Treatment Choices by Artificial Intelligence Correspond to Reality? Retrospective Comparative Research with Necrotizing Enterocolitis as a Use Case.

Medical decision making : an international journal of the Society for Medical Decision Making Mar 12, 2025
BackgroundIn cases of surgical necrotizing enterocolitis (NEC), the choice between laparotomy (LAP) or comfort care (CC) presents a complex, ethical dilemma. A behavioral artificial intelligence technology (BAIT) decision aid was trained on expert kn...
Male Infant, Premature Laparotomy Clinical Decision-Making Female Infant, Newborn Enterocolitis, Necrotizing Humans Artificial Intelligence Decision Support Techniques Retrospective Studies
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Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning.

Pediatric research Oct 8, 2024
BACKGROUND: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.
Algorithms Retrospective Studies Female Humans Machine Learning ROC Curve Infant, Premature Morbidity Infant, Premature, Diseases Infant, Very Low Birth Weight Infant Mortality Infant, Newborn Enterocolitis, Necrotizing Male Bronchopulmonary Dysplasia
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Artificial Intelligence vs. Doctors: Diagnosing Necrotizing Enterocolitis on Abdominal Radiographs.

Journal of pediatric surgery Jun 8, 2024
BACKGROUND: Radiographic diagnosis of necrotizing enterocolitis (NEC) is challenging. Deep learning models may improve accuracy by recognizing subtle imaging patterns. We hypothesized it would perform with comparable accuracy to that of senior surgic...
Radiography, Abdominal Enterocolitis, Necrotizing Infant, Newborn Deep Learning Clinical Competence Humans Neural Networks, Computer Cohort Studies Artificial Intelligence ROC Curve Retrospective Studies Internship and Residency
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Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study.

European journal of pediatrics Mar 30, 2024
Early prediction of surgical necrotizing enterocolitis (sNEC) in preterm infants is important. However, owing to the complexity of the disease, identifying infants with NEC at a high risk for surgical intervention is difficult. We developed a machine...
Risk Assessment Cohort Studies Registries Infant, Premature Humans Infant, Newborn Gestational Age Retrospective Studies Machine Learning Risk Factors Enterocolitis, Necrotizing Infant, Premature, Diseases Republic of Korea Infant, Very Low Birth Weight Male Female
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Reassessing acquired neonatal intestinal diseases using unsupervised machine learning.

Pediatric research Feb 27, 2024
BACKGROUND: Acquired neonatal intestinal diseases have an array of overlapping presentations and are often labeled under the dichotomous classification of necrotizing enterocolitis (which is poorly defined) or spontaneous intestinal perforation, hind...
Male Cluster Analysis Unsupervised Machine Learning Retrospective Studies Female Enterocolitis, Necrotizing Infant, Newborn Intestinal Diseases Infant, Newborn, Diseases Humans Intensive Care Units, Neonatal
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Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors.

International journal of environmental research and public health Nov 9, 2018
Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading causes of mortality in premature neonates; with major nutritional and neurodevelopmental sequelae. Since predicting which neonates will develop perforat...
Female Humans Adult Intestinal Perforation Infant, Newborn Neural Networks, Computer Male Enterocolitis, Necrotizing Young Adult Machine Learning Adolescent
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Diagnosing Necrotizing Enterocolitis via Fine-Grained Visual Classification.

IEEE transactions on bio-medical engineering Nov 1, 2024
Necrotizing Enterocolitis (NEC) is a devastating condition affecting prematurely born neonates. Reviewing Abdominal X-rays (AXRs) is a key step in NEC diagnosis, staging and treatment decision-making, but poses significant challenges due to the subtl...
Radiography, Abdominal Enterocolitis, Necrotizing Infant, Newborn Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans
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