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References from Unfolding new horizons: Machine learning applications for pediatric intussusception - A systematic review and meta-analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
Childhood intussusception: a literature review
10.1371/journal.pone.0068482 · 2013 · External reference
Ultrasound imaging of bowel obstruction in infants and children
10.1007/s11547-024-01854-3 · 2024 · External reference
Intestinal intussusception: etiology, diagnosis, and treatment
10.1055/s-0036-1593429 · 2017 · External reference
Intussusception: past, present and future
10.1007/s00247-017-3878-x · 2017 · External reference
Epidemiology, clinical characteristics, and treatment of children with acute intussusception
10.1186/s12887-023-03961-y · 2023 · External reference
Diagnostic accuracy of ultrasonography for detection of intussusception in children; a systematic review and meta-analysis
2023 · External reference
Pediatric intestinal obstruction in Rwanda
2022 · External reference
Idiopathic intussusception in infants and children
10.7759/cureus.48026 · 2023 · External reference
Neurological symptoms in children with intussusception
10.1111/j.1651-2227.2009.01466.x · 2009 · External reference
Interobserver variability studies in diagnostic imaging: a methodological systematic review
10.1259/bjr.20220972 · 2023 · External reference
Three-year surveillance of intussusception in children in Switzerland
10.1542/peds.2007-0035 · 2007 · External reference
Recurrent intussusception: when should surgical intervention be performed?
10.1016/j.pedneo.2012.07.004 · 2012 · External reference
Is every intussusception treatment an emergency intervention or surgery?
2016 · External reference
Sonographic findings predictive of surgical management in pediatric intussusception
10.1007/s00423-011-0742-6 · 2011 · External reference
A clinical scoring system to predict the risk of operative intervention in intussusception
2020 · External reference
Risk factors for recurrent intussusception in children
10.1136/bmjopen-2017-018604 · 2017 · External reference
Management of recurrent intussusception
10.1016/j.jpedsurg.2010.07.029 · 2010 · External reference
Nomogram for surgical intervention prediction in pediatric intussusception
10.2147/tcrm.s463086 · 2024 · External reference
Applications of ML in Chiari malformation: a scoping review
10.3390/children12020244 · 2025 · External reference
Machine learning for predicting critical events among hospitalized children
10.1001/jamanetworkopen.2025.13149 · 2025 · External reference
Machine learning in pediatric healthcare
10.3390/jcm14030807 · 2025 · External reference
Machine learning in deep brain stimulation: a systematic review
10.1016/j.artmed.2021.102198 · 2021 · External reference
A comprehensive review on machine learning in healthcare
10.3390/s23094178 · 2023 · External reference
Impact of artificial intelligence on global health
10.1177/21501319241245847 · 2024 · External reference
The PRISMA 2020 statement
10.1136/bmj.n71 · 2021 · External reference
PROBAST: a tool to assess risk of bias
10.7326/m18-1376 · 2019 · External reference
Development of an AI system for children intussusception diagnosis using US images
10.1016/j.isci.2023.106456 · 2023 · External reference
Deep learning algorithms for detecting intussusception on plain abdominal radiography in children
10.1038/s41598-020-74653-1 · 2020 · External reference
Performance of deep learning for detection of ileocolic intussusception on abdominal radiographs
10.1038/s41598-019-55536-6 · 2019 · External reference
Deep learning for prediction of pediatric recurrent intussusception
10.1186/s12880-025-01582-8 · 2025 · External reference
Predicting recurrent intussusception with machine learning
10.1007/s00383-022-05309-6 · 2022 · External reference
A deep-learning pipeline to diagnose pediatric intussusception and assess severity
10.1038/s41746-023-00930-8 · 2023 · External reference
Performance of deep learning for detection of pediatric intussusception on abdominal ultrasound
10.1155/2022/9285238 · 2022 · External reference
Feasibility of a deep learning AI model for diagnosis of pediatric ileocolic intussusception
10.14366/usg.23153 · 2024 · External reference
Predicting surgical intervention in pediatric intussusception using machine learning
10.62438/tunismed.v103i6.5542 · 2025 · External reference
Fluoroscopic image-driven deep learning model for predicting intussusception irreducibility during air enema
2026 · External reference
External validation of an upgraded AI model for screening ileocolic intussusception using pediatric abdominal radiographs
10.2196/72097 · 2025 · External reference
Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews
10.1016/j.jclinepi.2005.02.022 · 2005 · External reference
The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed
10.1016/j.jclinepi.2005.01.016 · 2005 · External reference
