Artificial and human intelligence for early identification of neonatal sepsis.
Artificial and human intelligence for early identification of neonatal sepsis.
复制标题
人工智能和人类智能用于新生儿败血症的早期识别。
DOI：
10.1038/s41390-022-02274-7
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发表时间：
2023
影响因子：
3.6
通讯作者：
Fairchild,KarenD
中科院分区：
文献类型：
--
作者：
Sullivan,BrynneA;Kausch,SherryL;Fairchild,KarenD
人工智能可能在新生儿败血症的早期检测中发挥作用。机器学习可以识别预测脓毒症样疾病临床恶化的高风险或增加风险的模式。在开发NICU护理的潜在补充时，应仔细考虑用于开发，验证和评估预测模型的数据和方法。当人工智能系统提醒临床医生注意患者病情的变化，需要进行床边评估时，人类的智慧和经验就会发挥作用，以确定适当的行动方案：评估和治疗或等待并密切观察。随着智能开发，验证和实施AI脓毒症系统，临床医生和患者都将受益。ImpactThis叙述性综述强调了AI在新生儿脓毒症预测中的应用。本文综述了新生儿败血症模型开发和验证的方法、注意事项和文献，并讨论了AI技术的挑战和在NICU中使用败血症AI系统的潜在障碍。
Artificial intelligence may have a role in the early detection of sepsis in neonates. Machine learning can identify patterns that predict high or increasing risk for clinical deterioration from a sepsis-like illness. In developing this potential addition to NICU care, careful consideration should be given to the data and methods used to develop, validate, and evaluate prediction models. When an AI system alerts clinicians to a change in a patient’s condition that warrants a bedside evaluation, human intelligence and experience come into play to determine an appropriate course of action: evaluate and treat or wait and watch closely. With intelligently developed, validated, and implemented AI sepsis systems, both clinicians and patients stand to benefit.ImpactThis narrative review highlights the application of AI in neonatal sepsis prediction. It describes issues in clinical prediction model development specific to this population.This article reviews the methods, considerations, and literature on neonatal sepsis model development and validation.Challenges of AI technology and potential barriers to using sepsis AI systems in the NICU are discussed.