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Jun 2026 Prescriber-driven variation in neonatal parenteral nutrition orders Even within a single NICU, two prescribers can write very different TPN orders for similar infants. Analyzing 54,464 orders, this study found that who wrote the order explained more of the variation in electrolyte dosing than the year it was written, quantifying how much day-to-day practice depends on the individual prescriber. Mar 2026 Artificial intelligence-guided nutritional therapy in the ICU Feeding critically ill patients through an IV (parenteral nutrition) is one of the most error-prone processes in intensive care. This review surveys how AI is beginning to change that by predicting complications like cholestasis and feeding intolerance, generating real-time nutrient recommendations, and reducing the variability that comes from different clinicians making different calls for similar patients. Dec 2025 Development and validation of a pre-trained language model for neonatal morbidities: a retrospective, multicentre, prognostic study Doctors write thousands of clinical notes about newborns in the NICU, but most AI tools can only use structured data like lab values. This study built NeonatalBERT, an AI language model trained to read clinical notes and estimate a baby's risk for serious complications. Sep 2023 Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity Many babies who end up in the NICU were born prematurely, and identifying at-risk pregnancies earlier could improve outcomes. This study used wearable devices to track physical activity and sleep in pregnant women, then applied AI to find patterns linked to preterm delivery. The results revealed previously unknown associations between maternal activity and prematurity risk.
