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Subject of Research: Technology and Engineering

Subject of Research: Technology and Engineering

Article Title: Development of a machine-learning risk stratification tool for vasoactive medication need after two-bolus fluid resuscitation in pediatric suspected sepsis

Article References: Velez, T., Badaki-Makun, O., Mercurio, D. C., Hirsch, D., Depinet, H., Dewan, M., Kamaleswaran, R., Grunwell, J., Vong, T., Cross, C., Triantafyllou, M., Wolff, N., Abdelrahman, F., Macias, C., & Koutroulis, I. (2026). Development of a machine-learning risk stratification tool for vasoactive medication need after two-bolus fluid resuscitation in pediatric suspected sepsis. Pediatric Research. https://doi.org/10.1038/s41390-026-05409-2

Image Credits: AI Generated

DOI: 10.1038/s41390-026-05409-2

Keywords: clinical decision support tools, early intervention in pediatric sepsis, fluid resuscitation in children, machine learning in critical care, machine learning-based risk assessment, Pediatric Emergency Medicine, pediatric intensive care innovations, pediatric sepsis risk stratification, pediatric septic shock management, predictive analytics in healthcare, sepsis treatment algorithms, vasoactive medication prediction

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Harold Sullivan. (August 31, 2026). Development of a machine-learning risk stratification tool for vasoactive medication need after two-bolus fluid resuscitation in pediatric suspected sepsis. Scienmag. https://scienmag.com/development-of-a-machine-learning-risk-stratification-tool-for-vasoactive-medication-need-after-two-bolus-fluid-resuscitation-in-pediatric-suspected-sepsis/

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Tags: clinical decision support toolscritical care predictive modelingearly intervention in pediatric sepsisfluid resuscitation in childrenfluid resuscitation in pediatric critical caremachine learning clinical decision supportmachine learning in critical caremachine learning-based risk assessmentmachine learning-based sepsis management toolsPediatric Emergency Medicinepediatric emergency medicine technologypediatric intensive care innovationspediatric sepsis risk stratificationpediatric septic shock managementpediatric septic shock risk assessmentpredictive analytics for pediatric septic shockpredictive analytics in healthcaresepsis treatment algorithmssepsis treatment decision algorithmsvasoactive medication predictionvasoactive medication prediction in children