Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants

Ying YUAN, Ling-Han TANG, Li-Rong GUAN

Chinese Journal of Contemporary Pediatrics ›› 2026, Vol. 28 ›› Issue (5) : 629-635.

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Chinese Journal of Contemporary Pediatrics ›› 2026, Vol. 28 ›› Issue (5) : 629-635. DOI: 10.7499/j.issn.1008-8830.2507030
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Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants

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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.

Key words

Artificial intelligence / Diagnosis / Treatment / Predictive model / Machine learning / Preterm infant

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Ying YUAN , Ling-Han TANG , Li-Rong GUAN. Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants[J]. Chinese Journal of Contemporary Pediatrics. 2026, 28(5): 629-635 https://doi.org/10.7499/j.issn.1008-8830.2507030

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