ReviewZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025
[Recent advances in artificial intelligence for auxiliary diagnosis and management of neonatal necrotizing enterocolitis].
Review in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Necrotizing enterocolitis (NEC) is a life-threatening gastrointestinal disease of neonates with a multifactorial pathogenesis involving prematurity, low birth weight, hypoxia, infection, and immune dysregulation. Owing to its superior data processing and diagnostic capabilities, artificial intelligence (AI) has been increasingly applied to support clinical care. By analyzing clinical and imaging data, AI approaches can aid in early identification, differential diagnosis, treatment decision-making, and prognostic evaluation, thereby complementing clinician judgment. This review summarizes recent advances in the application of AI and machine learning for NEC diagnosis and management, comparing the characteristics and strengths of different algorithms. The aim is to provide a reference for further development and implementation of AI-assisted tools in this field.
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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.