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Author

Oluwakemi Badaki-Makun

2 papers indexed here

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Aug 2026

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

A machine-learning model using eight routinely available clinical variables accurately predicts vasoactive medication need after two fluid boluses in pediatric suspected sepsis, identifying children at risk for fluid-refractory septic shock.

Tom Velez, Oluwakemi Badaki-Makun, Danielle Mercurio et al. · 0 citations
Review Jul 2026

How Correct is AI for Infant Safe Sleep Advice? Evaluating Accuracy of ChatGPT, Gemini, and Claude Against AAP Guidelines.

LLMs offer inconsistently accurate but empathetic infant safe sleep advice with frequent deviations from AAP recommendations, and Pediatric oversight and collaboration with technology developers are essential to ensure safe, evidence-based information for families.

Evin Rothschild, Jack Christian, C. Arar et al. · 0 citations

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