ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2026
[Expert consensus on artificial intelligence-assisted monitoring and management of neonatal jaundice in primary medical institutions (2026)].
Article 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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Abstract
Based on the current application status and existing challenges of artificial intelligence (AI) in the management of neonatal jaundice in primary medical institutions in China, a multidisciplinary expert panel was convened, including specialists from neonatology, pediatrics, child healthcare, obstetrics, public health, information management, and health administration, to develop the "Expert consensus on artificial intelligence-assisted monitoring and management of neonatal jaundice in primary medical institutions (2026)". This consensus focuses on how AI-assisted monitoring and management can empower early identification, risk assessment, and hierarchical referral of neonatal jaundice in primary medical institutions. It aims to improve the efficiency of early detection and dynamic management, prevent severe hyperbilirubinemia-especially bilirubin encephalopathy-and related adverse outcomes. The consensus addresses six clinical questions and proposes sixteen recommendations, providing standardized scientific guidance for primary healthcare providers in the implementation of AI-assisted monitoring and management of neonatal jaundice.
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