Leveraging Artificial Intelligence for decision support in neonatal and pediatric pharmacotherapy: A scoping review [0.03%]
利用人工智能进行新生儿和儿科药物治疗决策支持的系统综述
Luana Conte,Nunzia Decembrino,Cristina Arribas et al.
Luana Conte et al.
The use of Artificial Intelligence (AI) has the potential to transform healthcare in part by enhancing the accuracy of drug dosing and improving patient safety. However, its use in neonatology and pediatrics has just been started, with limi...
A systematic review on the use of artificial intelligence in the neonatal intensive care unit: far beyond the potential impact [0.03%]
人工智能在新生儿重症监护病房应用的系统综述：潜在影响远不止这些
Antonio Martínez Millana,Álvaro Solaz-García,Andrea García Montaner et al.
Antonio Martínez Millana et al.
Objectives: To explore the applicability of artificial intelligence (AI) in neonatal intensive care units (NICUs), identifying key trends in AI-driven technologies and their roles in the prognosis, classification, monitor...
Artificial intelligence in neonatal hemodynamics: Cerebral autoregulation [0.03%]
人工智能在新生儿血流动力学中的应用：脑自主调节功能的评估
Piyawat Arichai,Tai-Wei Wu,Istvan Seri et al.
Piyawat Arichai et al.
Neonatal artificial intelligence and machine learning mortality prediction modeling: A systematic review for risk adjustment in the neonatal intensive care unit [0.03%]
新生儿人工智能和机器学习死亡预测模型的系统评价在新生儿重症监护病房中的风险调整
Chelsea K Bitler,C Briana Bertoni,Brian C King et al.
Chelsea K Bitler et al.
Mortality remains a key indicator for the assessment of care quality in medicine. In neonatology, mortality rates are highly variable, both across units and over time. Comparison of crude mortality rates, however, are insufficient for bench...
Can artificial intelligence predict failure of non-invasive respiratory support in the neonatal unit? [0.03%]
人工智能可以预测新生儿科无创呼吸支持的失败吗？
Eleanor Jeffreys,Allan Jenkinson,Theodore Dassios et al.
Eleanor Jeffreys et al.
Background: Non-invasive ventilation (NIV) is a key form of respiratory support in neonatal intensive care units (NICU). Non-invasive ventilation failure, however, can lead to adverse outcomes in preterm infants. This nar...
Wissam Shalish,Josef Neu,Guilherme Sant&#x;Anna
Wissam Shalish
Optimizing neonatal nutrition and diagnosing serious gastrointestinal diseases remains a challenge, as traditional guideline-based approaches often fail to address the individualized needs of preterm and term infants. Advances in artificial...
Artificial intelligence in neonatal sepsis: Scope, challenges, and potential solutions! [0.03%]
人工智能在新生儿败血症中的应用：范围、挑战和潜在解决方案！
Deepika Kainth,Ramesh Agarwal
Deepika Kainth
Neonatal sepsis remains a major cause of neonatal deaths globally. Despite advances, accurate and timely diagnosis is hindered by the limited performance of the current clinical approaches, imperfect laboratory biomarkers, and long turnarou...
Can artificial intelligence predict failure of non-invasive respiratory support in the neonatal unit? [0.03%]
人工智能能否预测新生儿科非侵入性呼吸支持的失败？
Eleanor Jeffreys,Allan Jenkinson,Theodore Dassios et al.
Eleanor Jeffreys et al.
Background: Non-invasive ventilation (NIV) is a key form of respiratory support in neonatal intensive care units (NICU). Non-invasive ventilation failure, however, can lead to adverse outcomes in preterm infants. This nar...
David A Kaufman
David A Kaufman
In the past decades more infants of lower gestational ages (GAs) have developed invasive Candida infection (ICI) from nonmodifiable risk factors of immature immunity and underdeveloped immune barriers (skin, gastrointestinal and respiratory...
Maternal vaccination to prevent neonatal infections and combat antimicrobial resistance [0.03%]
通过孕妇接种疫苗预防新生儿感染和对抗抗生素耐药性
Eva P Galiza,Eve Nakebembe,Robert Mboizi et al.
Eva P Galiza et al.
Maternal vaccination during pregnancy is emerging as a powerful strategy in protecting newborns from infectious diseases, improving neonatal outcomes, and potentially reducing antimicrobial use and resistance. Maternal immunisation works by...