ReviewZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2026
[Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants].
Review in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2026. 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
Artificial intelligence (AI) technology is developing rapidly in the medical field, particularly showing significant clinical value in the diagnosis and management of diseases in preterm infants. Preterm infants have immature organ development and a high incidence of complications; early prediction, accurate diagnosis, and individualized treatment pose major clinical challenges. With its powerful data processing and pattern recognition capabilities, AI provides new solutions for the diagnosis and management of diseases in preterm infants. It is now widely applied to the prediction of complications, imaging diagnosis, optimization of treatment plans, and prognostic evaluation for preterm infants, significantly improving diagnostic and therapeutic efficiency and accuracy. However, limitations remain in the clinical application, including data quality, model interpretability, and ethical issues. This article reviews the research progress of AI in the diagnosis and management of diseases in preterm infants, discusses its application advantages, challenges, and future directions, aiming to provide a reference for clinical practice and related research.
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