AI Revolutionizes Nutritional Care for Premature Infants, Boosting Outcomes
Stanford Medicine
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Contributed by: Kate Gamble
Summary
A study from Stanford Medicine, published in *Nature Medicine*, reveals that an AI algorithm can improve the administration of intravenous nutrition for premature infants by predicting their specific nutrient needs. Trained on approximately 80,000 past prescriptions, the algorithm analyzes data from electronic medical records to assist healthcare professionals in the complex and error-prone process of prescribing total parenteral nutrition. The researchers aim to utilize this technology to streamline the prescription process, reduce mistakes, and enhance care for vulnerable infants who depend on these specialized nutritional interventions.
