Document Type
Article
Publication Date
9-27-2024
Identifier
DOI: 10.3389/fped.2024.1432808; PMCID: PMC11466774
Abstract
Necrotizing enterocolitis (NEC) remains a devastating disease in preterm and term neonates. Despite significant progress made in understanding NEC pathogenesis over the last 50 years, the inability of current definitions to discriminate the various pathophysiological processes underlying NEC has led to an umbrella term that limits clinical and research progress. In this mini review, we provide a historical perspective on how NEC definitions and pathogenesis have evolved to our current understanding of NEC endotypes. We also discuss how artificial intelligence-based approaches are influencing our knowledge of risk-factors, classification and prognosis of NEC and other neonatal intestinal injury phenotypes.
Journal Title
Front Pediatr
Volume
12
First Page
1432808
Last Page
1432808
Keywords
endotype; machine learning; necrotizing enterocolitis; neonate; phenotype; prematurity
Recommended Citation
Cuna A, Kumar N, Sampath V. Understanding necrotizing enterocolitis endotypes and acquired intestinal injury phenotypes from a historical and artificial intelligence perspective. Front Pediatr. 2024;12:1432808. Published 2024 Sep 27. doi:10.3389/fped.2024.1432808
Comments
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Publisher's Link: https://www.frontiersin.org/journals/pediatrics/articles/10.3389/fped.2024.1432808/full