【摘要】 基于我国基层医疗卫生机构在新生儿黄疸人工智能辅助管理中的应用现状及存在的问题，该共识工作组组织新生儿科、儿科、儿童保健科、产科、公共卫生、信息管理、卫生管理等多学科专家，制定了《基层医疗卫生机构新生儿黄疸人工智能辅助监测管理专家共识（2026年）》。该共识聚焦基层医疗卫生机构在新生儿黄疸早期识别、风险评估及分级转诊工作中，如何通过人工智能辅助监测管理赋能，提高早期识别与动态管理效率，预防严重高胆红素血症（尤其是胆红素脑病）及相关不良预后，提出了6个临床问题及16条推荐意见，为基层医疗卫生机构规范开展新生儿黄疸人工智能辅助监测管理提供指导。更多还原

【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 AIassisted 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.更多还原