AIMC Topic: Enterocolitis, Necrotizing

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New biomarkers to predict the need for surgery of necrotizing enterocolitis: a study based on abdominal X-ray radiomics and machine learning.

Biomedical engineering online Dec 16, 2025
BACKGROUND: Necrotizing enterocolitis (NEC) is an inflammatory intestinal disease that primarily affects premature infants and is a major cause of death in the neonatal period. Approximately half of the affected infants require surgical intervention,...
Humans Machine Learning Biomarkers Female Image Processing, Computer-Assisted Abdomen Radiography, Abdominal Enterocolitis, Necrotizing Infant, Newborn Radiomics Male Infant
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The prediction models for the optimal timing of surgical intervention for necrotizing enterocolitis: nomogram vs. five machine learning models.

Pediatric surgery international Aug 20, 2025
BACKGROUND: Necrotizing enterocolitis (NEC) is one of the most common diseases that pose serious threats to the life of newborns. In clinical practice, NEC is typically treated by surgical intervention, but it is still difficult to identify the timin...
Time-to-Treatment Enterocolitis, Necrotizing Female Infant, Newborn Male Nomograms Humans Machine Learning Retrospective Studies
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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. ...
Databases, Factual Prognosis Retrospective Studies Female Humans Machine Learning ROC Curve Logistic Models Early Diagnosis Enterocolitis, Necrotizing Infant, Newborn Risk Factors Male Case-Control Studies
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DUAL VALIDATION ANALYSIS OF SERUM CYP3A4 IN PREDICTING NEC IN PRETERM INFANTS.

Shock (Augusta, Ga.) Apr 4, 2025
Objective: Necrotizing enterocolitis (NEC) is a life-threatening condition in premature infants, where timely diagnosis and intervention are crucial. This study investigated the potential of serum CYP3A4 as an early predictive biomarker for NEC and d...
Infant, Premature Cytochrome P-450 CYP3A Enterocolitis, Necrotizing Humans Female Biomarkers Infant, Newborn Male ROC Curve
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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...
Enterocolitis, Necrotizing Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Infant, Newborn Male Infant, Premature Laparotomy Humans Artificial Intelligence
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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.
Infant, Very Low Birth Weight Male Bronchopulmonary Dysplasia ROC Curve Morbidity Infant Mortality Infant, Premature Infant, Premature, Diseases Enterocolitis, Necrotizing Algorithms Retrospective Studies Female Infant, Newborn Humans Machine Learning
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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...
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Infant, Newborn Deep Learning Clinical Competence Radiography, Abdominal Cohort Studies Enterocolitis, Necrotizing ROC Curve 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...
Infant, Very Low Birth Weight Infant, Premature Gestational Age Infant, Premature, Diseases Female Enterocolitis, Necrotizing Humans Risk Assessment Infant, Newborn Machine Learning Cohort Studies Risk Factors Retrospective Studies Registries Male Republic of Korea
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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...
Intestinal Diseases Infant, Newborn, Diseases Intensive Care Units, Neonatal Enterocolitis, Necrotizing Humans Retrospective Studies Male Female Cluster Analysis Infant, Newborn Unsupervised Machine Learning
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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 Infant, Newborn Neural Networks, Computer Young Adult Machine Learning Adult Male Adolescent Intestinal Perforation Enterocolitis, Necrotizing
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