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AI can empower doctors give intravenous nutrition to preemies
A Stanford Medicine study has shown that artificial intelligence can enhance intravenous (IV) nutrition for premature babies by improving prescription accuracy. The study is among the first to demonstrate how AI can assist doctors in making better clinical decisions for neonatal care.
The AI algorithm, trained on nearly 80,000 past prescriptions from over 5,900 patients, analyzes electronic medical records to predict the nutrients preemies need. IV nutrition, essential for babies born before their digestive systems fully develop, is a major source of medical errors in neonatal intensive care units.
The AI groups similar prescriptions into 15 standardized formulas, adjusting recommendations as babies grow. When tested, neonatologists preferred AI-generated prescriptions over real ones. The model also linked incorrect prescriptions to higher risks of mortality and disease. Researchers plan clinical trials to validate AI-assisted prescriptions, aiming to improve accessibility and reduce costs, particularly in low-resource settings.
02-04-2025